Imagine you are selling a product. You need to put it on the right shelf in the right store so the right customer finds it. The IAB Content Taxonomy is that shelf system for web content and advertising.

It is a list of categories organised in levels:

• Level 1 is broad: Sports, Healthy Living, Business and Finance.
• Level 2 goes deeper: Sports > Football.
• Level 3 is even more specific: Sports > Olympic Sports > Winter Olympic Sports.

The more specific the label, the more useful it is for advertisers who want to reach the right audience.

A Taxonomy That Has Evolved -- and Why That Matters

Version 1.0 was the standard for many years. It was officially retired in 2020, but a large part of the industry is still using it, or using no structured labels at all.

Version 2.0, and its widely adopted revision 2.2, arrived as a meaningful step forward. It expanded the category list significantly and introduced more granular Tier 2 and Tier 3 labels. It also began separating content categories from audience categories, which was an important structural improvement. Many publishers, SSPs, and DSPs adopted 2.2, and it remains the most widely supported version in the market today. Prebid's RTD modules use it. Google supports Content 2.2 and Audience 1.1. For most publishers, version 2.2 is the practical standard that buyers can actually read and act on.

Version 3.0 is a more ambitious upgrade. The most important change is something called descriptive vectors. In older versions, everything about a page -- its topic, its format, its source -- was mixed together in one single label. In 3.0, these are separate signals. So instead of one label, a page gets several:

• what it is about,
• what type of content it is (news, opinion, video),
• and where it comes from.

This gives advertisers much more precise information, and support for 3.0 is growing. In December 2024, IAB Tech Lab also added support for connected TV (CTV) video content to 3.0, so streaming publishers can now use the same system too.

The honest picture is this: version 2.2 has the broadest buyer support right now. Version 3.0 is where the industry is heading. Publishers who want to be competitive today and ready for tomorrow need to be able to speak both.

The Big Problem: Most Publishers Label Their Content Wrong

Here is the uncomfortable truth. Most publishers still classify their content by hand. Someone picks a category in a dropdown menu when setting up a website section. That same category is then applied to every single article in that section, forever, no matter what those articles are actually about.

This causes three clear problems:

1. It is inaccurate. A Sports section might have match reports, betting tips, and fitness articles all under one label -- advertisers who want to avoid gambling content cannot tell the difference.
2. It is outdated the moment a new article is published. A news story about a medicine recall that sits in the Health section passes no warning to advertisers, even if it would trigger their brand safety rules.
3. It creates confusion across the supply chain. Many publishers are still sending old version 1.0 labels to SSPs and DSPs that expect 2.2 or 3.0. The signals simply do not match.

IAB Tech Lab released special tools in December 2024 just to help the industry translate between old and new taxonomy versions. That tells you how widespread the problem still is.

Why Advertisers Care About This More Than Ever

A few years ago, advertisers did not rely on content labels much. They used cookie-based data to follow users around the web. They knew who was reading, so they did not need to know what was being read.

That era is ending. Privacy laws and browser changes have made user tracking much harder. Contextual targeting based on page content, not user behaviour, has grown 2 to 3 times between 2022 and 2025. Advertisers now need good content signals to buy the right inventory.

When a publisher sends a vague, incorrect, or outdated taxonomy label, advertisers cannot confidently buy that inventory. They either skip it or pay less for it. When a publisher sends clear, accurate signals in the version the buyer actually supports, advertisers can target precisely -- and they pay more.

The global programmatic market is heading toward $779 billion by 2028. In a market that size, signal quality is a real competitive advantage.

What Good Implementation Looks Like

Good taxonomy implementation means four things:

1. Classify at the article level, not just the section -- every page needs its own label based on its actual content.
2. Go deep: Tier 2 and Tier 3 labels, not just the broad Tier 1.
3. Keep signals consistent across all your SSP connections, and make sure you are sending the version each buyer expects.
4. Use a machine to do it. Manual tagging cannot keep up with the speed of publishing. You need a system that reads each page automatically and applies the correct labels in real time.

How Neuwo Solves This

Neuwo's APIs read every page on your site in real time. They automatically apply IAB Content Taxonomy labels at all three tiers, plus audience signals and contextual categories, and they do it across the versions your buyers actually support. Whether you need:

• 2.2 for Google,
• 3.0 for buyers who are already there,
• or a clean upgrade path from legacy 1.0 signals,

Neuwo delivers the right labels to the right destination. No manual work, no outdated labels, no version mismatches.

The Edge API connects directly to your Prebid setup through the Neuwo RTD Module. This means every bid request that leaves your site already carries rich, accurate, machine-generated content signals before the auction even starts. Categories are also available through SSP integrations.

Your content already has value. The right taxonomy labels in the right version, for the right buyer, make that value visible to the advertisers who are ready to pay for it.

Have questions? Want to know what IAB taxonomy signals Neuwo can extract from your content, and which versions your buyers expect? Our team is ready to jump on a call and walk you through it.

If you're in that group, you're not actually competing for programmatic demand; you're hoping DSPs will guess your content is safe, relevant, and high-quality. They won't. They default to caution, suppress bids, or skip your inventory entirely.

In today's marketplace, the absence of brand-safety signals is treated the same as unsafe content: unverified means untrusted, and untrusted means unmonetised.

The Measurement Problem Costing You Revenue

Hearst, a global media leader, partners with a leading contextual intelligence provider to show exactly why this matters. Their audit revealed that 38% of newspaper impressions were misclassified by outdated brand-safety systems -- not because the content was risky, but because legacy keyword engines couldn't understand context.

In reality:

• Over 97% of Hearst Television's 2.5 billion impressions in late 2025 ran in safe environments.
• More than 80% were neutral or positive in tone.

The problem wasn't the content; it was the signal. Once that contextual gap was fixed, advertisers suddenly saw supply they'd been excluding for years. As inventory became correctly classified, CPMs dropped by up to 27% simply because buyers finally had access to the safe, high-quality impressions they had been unintentionally blocking.

When supply increases, CPMs naturally decline -- but revenue rises.

Publishers didn't lose money from lowered CPMs. They gained access to demand that had been artificially bottlenecked.

FreeWheel's data reinforces the same pattern:

• Enriched bid requests drove a 57% increase in bid response rates.
• Publishers using modern AI-driven contextual enrichment saw 35% revenue growth in 2025, while the industry as a whole was dealing with 17% year-over-year CPM declines.

The math is simple: supply with verified safety and contextual clarity wins more auctions, attracts more buyers, and earns meaningfully higher rates.

Why Legacy Tools Failed

Keyword blocklists became obsolete for one reason: scale. They were never built to interpret nuance, sentiment, or context. By 2025, the cracks were impossible to ignore:

• Articles about wine tastings were flagged for "alcohol."
• Crime-statistics reporting triggered brand-safety violations.
• Everyday journalism was penalised because the system couldn't tell the difference between harmful content and coverage of real-world events.

This is why news inventory has been systematically over-blocked, forcing budgets toward walled gardens where "news" exists but under alternative measurement regimes.

The problem is simple: when a premium publisher doesn't send strong brand-safety or contextual signals, their inventory looks no different from low-quality MFA supply in the bid request. DSPs can't tell them apart, so both get filtered out the same way.

Add the looming wave of generative-AI content -- projected to hit 90% of all online material by the end of 2026 -- and the stakes get higher. With over half of advertisers concerned that AI-generated content is degrading media quality, publishers must prove their content is authentic, contextual, and safe. That requires multimodal analysis: text, images, and video evaluated together instead of keyword stabs in the dark.

How Neuwo's EDGE API Solves This

Neuwo fixes the problem at the source -- the publisher -- where the content actually exists. Neuwo analyses every piece of content the moment it's published using multimodal AI. It assigns:

• highly specific contextual taxonomy tags,
• nuanced brand-safety scores,
• sentiment values,
• and quality indicators.

Then it injects these signals directly into OpenRTB bid requests before your SSP sends them downstream. Every impression arrives in the SSP as a fully enriched, verified, contextually aligned data package.

Buyers want efficiency, accuracy, and verifiable classification. 72% of buyers now rank cross-platform measurement as a top priority, and they're actively questioning old brand-safety theories when publishers can present better data.

Your SSP can only work with what you feed it. If you're sending raw URLs and hoping the system figures out the rest, you're effectively handing revenue to competitors who enrich every impression with structured signals.

Brand safety isn't a checkbox; it's the unlock. Without structured brand-safety and contextual signals, you're filtered before the auction even starts. With 40-60% of publishers still failing to provide these signals, the advantage goes to whoever fixes it first -- not the ones who wait until the market catches up.

Want to see what your inventory looks like with full brand-safety and contextual enrichment? Contact the Neuwo team and let's run a test. Neuwo can help reveal opportunities you may be overlooking.

Advertising technology continues to grow at an incredible pace, but so does its environmental footprint. In 2025, we saw major progress. According to IAB Europe, "74% of companies now view sustainability as a core business priority, and nearly half are actively measuring the carbon footprint of their digital media." That's double the figure from 2024. It's a big step forward, but challenges remain. Common standards and education are still lacking.

The rapid adoption of AI in adtech has amplified the conversation around sustainability. While AI brings precision and automation, it also increases computing load and energy use. This makes carbon footprint tracking and emissions reduction more critical than ever.

Why sustainability in adtech matters more than ever

Three developments made 2025 a turning point:

Standardised measurement is here. Ad Net Zero and the WFA's Global Alliance for Responsible Media introduced and updated the Global Media Sustainability Framework (GMSF). This framework provides voluntary standards for calculating and reporting greenhouse-gas emissions across six media channels: digital, TV, out-of-home, print, audio, and cinema. The June 2025 update operationalised digital formulas and aligned with global protocols, making it easier for brands to include media emissions in Scope 3 reporting.

Emission transparency is scaling in programmatic. Data providers and platforms are integrating emissions into planning and buying. Scope3 expanded access to GMSF categories, and partnerships in 2025 embedded carbon tracking into creative and media workflows. Sustainability is moving from after-the-fact reporting to proactive decision-making.

Simple actions make a big difference. Compressing video files, reducing non-viewable impressions, and cutting low-quality placements are proving that lower carbon doesn't mean lower performance.

The industry finally has the tools and standards to act. Now it's about using them.

Our mission

Neuwo's mission is to make context work harder for performance, privacy, and sustainability. By helping clients activate contextual intelligence instead of ID-heavy strategies, we reduce unnecessary data movement and improve relevance.

The biggest drivers of emissions in adtech are well known: heavy data transfers, inefficient supply paths, and wasted impressions. Practical steps like compressing video files, reducing bid duplication, and prioritising quality inventory can make a measurable difference. Contextual targeting is emerging as a powerful sustainability lever. By reducing reliance on identity graphs and minimising unnecessary data movement, context helps cut waste while improving relevance.

For advertisers, agencies, publishers, and platforms, sustainability is not just a compliance checkbox -- it's becoming a competitive advantage. Brands want greener campaigns. Agencies need frameworks to deliver them. Publishers and SSPs are under pressure to optimise infrastructure and prove their role in a low-carbon supply chain.

How Neuwo fits in

At Neuwo, the belief is that context can drive both performance and sustainability. APIs and audience solutions are designed to cut unnecessary data movement and deliver more relevant placements, helping advertisers follow best practices that reduce emissions and align with industry standards like the Global Media Sustainability Framework.

For advertisers and brands, this also means adding brand safety signals to ensure campaigns run in suitable environments without over-blocking, which reduces waste and improves efficiency.

The technology is built with sustainability in mind. Neuwo's models are trained on LUMI, one of the most energy-efficient supercomputers in the world. LUMI is powered by renewable energy and uses advanced heat-recovery systems to warm local communities, making it a benchmark for green computing. Every contextual decision delivered is backed by infrastructure designed to minimise environmental impact.

Market growth and projections

According to Grand View Research, "the contextual advertising market was valued at about $195 billion in 2023 and is projected to reach $468 billion by 2030." Other forecasts suggest the current market is closer to $262 billion in 2024, with growth expected to hit $562 billion by 2030.

Why the surge?

Contextual advertising addresses two major challenges: privacy compliance (no personal IDs required) and relevance at scale (ads that fit the moment, not just past behaviour).

Privacy is rewriting the playbook. Third-party cookies are becoming obsolete, and advertisers need solutions that don't rely on personal IDs. Context delivers relevance without crossing privacy lines.

Digital consumption is exploding. From smartphones to connected TVs, audiences expect seamless experiences across screens and formats.

Programmatic gets smarter. Real-time bidding now taps contextual signals, enabling brands to buy impressions dynamically based on content rather than just audience profiles.

AI changes everything. Modern technology understands nuance, tone, sentiment, and imagery, scanning text, video scenes, and audio to place ads appropriately.

Brand safety matters more than ever. Contextual targeting with suitability filters keeps ads in safe environments while maintaining reach.

Personalisation without creepiness. Consumers want relevant ads that respect their privacy and data security.

Sustainability and ESG pressures are reshaping advertising strategies as brands seek campaigns aligned with environmental and social-governance standards.

What this means for strategy

Expect increased investment in AI-driven contextual tools handling multimodal signals across text, video, and audio at scale. The winners will be those integrating these capabilities early.

Programmatic is evolving fast -- buyers want richer signals, brand-safety assurance, and standardised taxonomies. Behavioural targeting is losing ground; contextual intelligence is the practical, privacy-compliant way to keep demand strong. Publishers who master context will lead the next chapter of programmatic.

Signal layer for programmatic: contextual targeting and bid enrichment

Here's what goes into the bid stream when you use Neuwo:

• Brand safety flag. Every page gets a clear pass/fail status with reasons so advertisers can bid confidently.
• Contextual categories (IAB 2.2/3.0, Google Topics, etc.). Your content is mapped to standardised categories like Television, Movies, Books & Literature, and Hobbies & Interests -- the same taxonomy trusted across the industry.
• Audience signals (IAB Audience 1.1, contextually). Neuwo predicts age ranges, gender probabilities, and purchase intents based on context, not personal data, helping buyers target without tracking individuals.

This works for any vertical -- news, lifestyle, finance, sports, tech -- because Neuwo understands themes, tone, and intent, not just keywords. The result? Richer signals in every impression, stronger demand, and higher CPMs.

Why it works in 2025's reality

Buyers now expect high-quality signals to decide bids, especially as cookies remain patchy and many Sandbox APIs fade. Contextual and first-party publisher signals are the practical path forward.

Standard taxonomies mean compatibility across SSPs and DSPs. Your enriched bid requests plug into buyers' systems without custom mapping nightmares.

Proof of safety and relevance improves fill rate and CPMs, particularly in video, CTV, and premium environments.

How to get started

Phase 1: setup and validation (weeks 1-2)

• Integrate Neuwo with your SSP.
• Run analysis on top-traffic pages to confirm brand-safety tagging and contextual mapping.
• Check DSP visibility to ensure enriched signals are flowing in bid requests.

Phase 2: optimisation (weeks 3-6)

• Monitor baseline KPIs: CPM uplift, fill rate, brand-safety pass rate, invalid-traffic reduction.
• Adjust taxonomy mapping or SSP settings if signals aren't appearing consistently.

Phase 3: measurement and reporting (weeks 6-8)

• Compare before vs. after: CPM increase, higher bid density, viewability and engagement metrics.
• Share results with demand partners to validate impact.

Pro tip: keep a small portion of traffic unchanged so you have a clean control group.

Why act now (even with cookies still around)

Because "status quo" still means fragmented identity, privacy scrutiny, and buyers rewarding transparent, high-quality supply. Reports and panels this year point to the same conclusion: publishers who enrich the bidstream with robust contextual and first-party signals win more demand. Those who wait see CPM erosion and deal leakage.

Neuwo gives you a no-drama way to deliver those signals, page by page, with brand safety baked in, IAB-aligned taxonomies, and audience intent cues that buyers can understand and price.

Ready to turn context into revenue?

Your content already has value, and contextual signals make it visible to buyers. In just a few weeks, we'll show you how contextual intelligence drives stronger demand, and we'll guide you through every step.

Cookie consent is becoming simpler. The EU aims to reduce intrusive pop-ups that disrupt user experience, creating fewer barriers for engagement and improved monetisation opportunities for publishers.

The outdated ePrivacy regulation is being retired. The new rules will permit personalisation without excessive consent requirements, balancing user trust and business needs.

The Data Union Strategy and AI Act updates will facilitate innovation. Companies can test new adtech solutions in regulatory sandboxes -- safe environments for experimentation without compliance risks. This accelerates development cycles and expands innovation freedom.

Compliance reporting is streamlined. A single entry point for cybersecurity and data-breach notifications reduces administrative burden.

Why this matters for adtech

Publishers gain better monetisation and improved user satisfaction. Adtech companies experience lower compliance costs, expanded data ecosystems, and enhanced capacity to innovate with AI-driven targeting and contextual advertising.

Neuwo's perspective

This represents a pivotal moment for privacy-conscious advertising. The EU is transitioning from consent-dependent models toward balanced regulation where personalisation and privacy coexist. Neuwo's solutions leverage contextual targeting and AI-powered compliance tools to help clients prepare.

What should you do now?

Evaluate your current data handling and personalisation approaches. If cookie-dependent, explore privacy-respecting alternatives that maintain strong performance.

Contextual advertising provides relevance without personal identifiers. Publishers should ensure their tech infrastructure supports contextual monetisation. APIs enable seamless integration into existing workflows.

Advertisers and media agencies should develop contextual audiences defined by real-time content signals rather than user profiles, improving campaign precision as third-party data diminishes.

Early adoption of privacy-first strategies provides competitive advantages as new regulations take effect.

Most brands struggle with scaling creative production. They need hundreds or thousands of variations across channels while managing production-workload constraints.

Newsroom AI solves this through an automated creative engine. The platform helps brands like Suzuki, Nescafé, Nestlé, and Colgate design interactive content at scale. With Newsroom AI, marketers can:

• Generate hundreds or thousands of variations without bottlenecks
• Test different narrative angles and hooks
• Create formats spanning mobile, desktop, and CTV

Context that actually understands

Simple keyword matching no longer suffices. Neuwo.AI applies advanced NLP and machine learning to understand content depth -- analysing tone, intent, sentiment, and semantics. It classifies content into thousands of contextual categories, reading pages as humans would.

The key advantage: no cookies, no invasive tracking. Just smart contextual intelligence determining where each creative belongs.

How it all comes together

The workflow connects three elements:

1. Newsroom AI generates dynamic, adaptive creative at scale.
2. Neuwo.AI maps optimal environments for each message.
3. Newsroom AI activates via DSPs or publisher PMPs.

This creates a "creative x context x activation" loop.

The results: better than expected

Campaign performance demonstrated consistent strength:

• 5.8% average interaction rate (versus 1.2% benchmark)
• Nearly 5x stronger performance compared to standard executions
• Enhanced engagement and deeper ad exploration

Why this actually matters

Creative and media have historically operated separately. Consumers, however, experience them as unified. This collaboration demonstrates how intelligent creative adaptation combined with deep contextual understanding delivers more human-centred advertising when distribution seamlessly connects both elements.

Europe is entering a new phase of digital accountability. With the EU Regulation on the Transparency and Targeting of Political Advertising (Regulation (EU) 2024/900) coming fully into effect in October 2025, the landscape of political and advocacy advertising is undergoing a major transformation.

The new law restricts how political messages can be promoted online, requiring full transparency on who funds each ad, what audiences are reached, and why they were targeted. Most importantly, it bans the use of personal or sensitive data -- such as political beliefs, religion, ethnicity, or location -- for targeting voters.

According to the European Commission, these rules aim to "protect democratic debate from manipulation" by ensuring that citizens are not micro-targeted or profiled based on their political opinions.

Why big platforms are backing out

The response from major tech platforms has been dramatic. Meta and Google have both announced that they will pause or end all political and social-issue ads in the EU, citing regulatory complexity and compliance risk. This effectively removes billions of impressions from the European political-ad market.

For advertisers and publishers, this shift creates both uncertainty and opportunity. While audience-based targeting is now off the table, contextual targeting remains not only legal, but essential.

As noted by Euractiv (October 2025), "the regulation has made contextual advertising the only viable targeting strategy for political and issue-based communication within the EU."

Contextual intelligence: the compliant path forward

Unlike behavioural or data-driven targeting, contextual intelligence focuses entirely on the meaning and relevance of the content being consumed -- not the identity of the user.

Neuwo's contextual AI analyses topics, tone, sentiment, and semantics in real time, allowing advertisers to:

• Place messages in relevant and appropriate contexts
• Avoid politically sensitive or non-compliant placements automatically
• Operate entirely without collecting, processing, or storing personal data

This approach aligns fully with the EU's new regulation, ensuring transparency and compliance while enabling effective, context-driven campaigns.

How Neuwo helps publishers, agencies, and advertisers

Neuwo's contextual intelligence technology enables publishers, agencies, and advertisers to classify and enrich content and campaigns with accurate, privacy-safe contextual signals that:

• Detect political or advocacy themes to manage ad eligibility and reduce compliance risk
• Assess and filter content sensitivity levels to ensure every placement aligns with EU political-advertising standards
• Generate transparent, auditable insights that show exactly why a specific ad or context match was made

In this way, Neuwo serves as a contextual compliance and intelligence partner, helping publishers safeguard their inventory while giving agencies and advertisers the tools to deliver compliant, relevant, and effective campaigns without relying on personal data.

Turning regulation into an advantage

While the 2025 regulation introduces new boundaries, it also opens the door for ethical, privacy-first innovation in advertising. By focusing on context instead of personal data, publishers and brands can build stronger trust with audiences and regulators alike.

Neuwo is here to help the industry navigate this new era -- where context guides every placement, compliance is effortless, and advertising works in harmony with transparency.

Neuwo offers privacy-safe, cookie-free audiences built directly from real-time page signals. We have created an AI model that maps content to IAB Audience Taxonomy 1.1 segments and enables ultra-customised audiences using contextual analysis.

Premium audience segments for Christmas campaigns

Luxury holiday shoppers

Purchase intent → Shopping → Holiday Gifts & Luxury Goods

Consumers actively engaging with premium gift ideas, jewellery, high-end fashion, or gourmet experiences.

Why it works: high purchase intent and premium audiences mean premium CPMs for luxury, fashion, and gifting brands.

Tech and mobile innovators

Interest → Technology & Computing → Smartphones, Wearables & Gadgets

People interested in the latest mobile devices, smart tech, and streaming content.

Why it works: perfect for tech, telecom, and electronics brands launching Black Friday or Christmas campaigns. Finds audiences potentially purchasing mobile devices right after release.

Winter travel and experience seekers

Interest → Travel → Winter Holidays & Adventure Travel

Users browsing content about winter destinations, hotels, unique experiences, and winter-related leisure activities.

Why it works: identifies travel and lifestyle enthusiasts. Premium travel and lifestyle advertisers value these segments during peak booking season.

Coffee enthusiasts with a premium lifestyle

Affinity → Lifestyle → Quality Moments & Mindful Living

Interests → Food & Drink → Coffee-related products

Contextually derived from content around coffee culture, design, and wellness -- including breakfast, bread, pastries, and food recipes.

Why it works: engages affluent, lifestyle-oriented consumers who love coffee. Ideal for premium food, beverage, and home brands.

Custom audience creation

Neuwo builds custom audiences based on campaign goals using its own ontology, the IAB Content Taxonomy, and manual curation. Examples include "Premium beverage enthusiasts who prioritise personal time" or "Latest Mobile Device Enthusiasts aged 25-44 interested in travel and photography."

Neuwo audiences are built for precision, performance, and flexibility. These segments are available for direct deals and programmatic activation, delivering strong CPMs and high engagement during the busiest season of the year.

Contact us to activate Neuwo audiences

Neuwo's APIs enable advanced contextual analysis, brand-safety checks, and audience segmentation. The new SDKs provide production-ready access to REST and Edge APIs, making integration straightforward.

With minimal code, developers can connect to Neuwo's platform, analyse text or URLs, and retrieve enriched metadata including AI-analysed topics, IAB categories, and brand-safety indicators -- with automatic configuration and error handling.

The SDKs eliminate boilerplate code, handle edge cases automatically, provide proper exception handling, and deliver type-safe objects instead of raw JSON. Development teams can focus on building features rather than maintaining API integration code.

Documentation is available at docs.neuwo.ai.

Key benefits at a glance

For developers:

• Clean interfaces with consistent data structures
• Comprehensive unit testing for stability
• Full coverage for all available endpoints
• Built-in logging and retry mechanisms
• Type-safe exception handling

For decision-makers:

• Faster deployment and reduced maintenance costs
• Future-proof reliability with automatic updates
• Development teams focus on revenue-driving features
• Production-ready from day one

Built for reliability and speed

Both SDKs undergo rigorous testing and automatic updates aligned with API releases. Automated CI/CD pipelines verify compatibility across Python 3.8+ and Node.js v18+.

Integrations benefit from the latest Neuwo features without additional code changes -- whether you're building a publishing CMS, an adtech solution, or a contextual analytics tool.

Real-life use cases

Publishers automate topic tagging, improve recommendation engines, and deliver contextually matched ads through SDK calls.

Advertisers and SSPs power contextual auctions and optimise targeting precision with seamless Edge API integration and customisable audiences.

Developers reduce onboarding friction and move from authentication to full AI-powered analysis within minutes.

Partners accelerate market entry with dependable SDKs that scale alongside Neuwo's infrastructure.

Continuous improvement, zero disruption

The SDKs follow a zero-disruption deployment philosophy. Each release undergoes comprehensive testing, ensuring stability as underlying AI models evolve.

Logging, error tracking, and detailed documentation prepare SDKs for production environments immediately. Configuration is minimal and integration works smoothly with standard CI/CD pipelines and cloud environments.

Get started today

Documentation: docs.neuwo.ai

Python SDK: PyPI · GitHub

JavaScript/TypeScript SDK: npm · GitHub

Obtain your API token from Neuwo Support and contact the team for setup assistance if needed.