AI That Actually Matters

A Decade of Real-World AI Impact

Since 2016, we've built AI that predicts epidemics, identifies stolen artifacts, and processes global data streams in 100+ languages. This isn't AI for headlines—it's AI for outcomes. Where Amazon's AI failed to track COVID data globally, ours succeeded. When the British Museum needed to protect cultural heritage, our AI delivered. Real problems, real solutions, real impact.

Founder Jon Anthony sharing insights at the 2024 EIOS Global technical meeting

Beyond the Hype: AI That Delivers

While others talk about AI potential, we have a decade of proven delivery. From knowledge graphs predicting disease outbreaks to computer vision identifying artifacts, our AI solutions are battle-tested in production, processing millions of data points daily for organisations where failure isn't an option.

Intelligence That Scales Globally

From Prediction to Prevention

Our AI doesn't just analyse—it understands. Processing data from Facebook posts in Swahili to government reports in Mandarin, our systems extract intelligence from chaos. This is AI architected for the real world: messy data, multiple languages, massive scale.

Founder Jon Anthony meeting the Sengal AI team

EIOS GTM Creating spaces for in-depth technical discussion

AI Impact Metrics

A Decade

AI Experience

since 2016 in production

100+

Languages

processed without translation

Millions

Daily Data Points

analysed in real-time

Days

Earlier Detection

for disease outbreaks

Comprehensive AI & Data Capabilities

From epidemic forecasting to demand prediction, our models see patterns before they become problems.

Understanding human language at scale—any language, any source, any format.

Teaching machines to see and understand, from medical imaging to artifact identification.

Connecting dots humans miss. Building intelligence from relationships.

Collecting intelligence from anywhere—websites, social media, documents, APIs.

Leveraging latest language models for content generation, analysis, and automation.

AI Solutions in Production

Global Disease Intelligence System

For the World Health Organization, we built AI that processes news, social media, and reports in 100+ languages to track disease outbreaks globally. The system detects outbreaks days earlier than traditional methods, monitoring 194 countries continuously.

Cultural Heritage Protection

Working with the British Museum, we developed computer vision and web crawling systems to identify and track stolen artifacts globally. Using custom CNN models and distributed crawling, we've helped recover numerous stolen pieces.

Financial Crime Detection

For an international bank, we created graph-based AI that analyses transaction networks to identify money laundering patterns. The solution improved detection rates, processing millions of transactions daily.

Cyber Security Intelligence

We built unsupervised learning systems for a government agency to detect network anomalies indicating attacks. The solution prevented multiple zero-day exploits and became the first AI system certified for national security.

Legal Document Analysis

For a law firm, we developed NLP systems for document classification and extraction, significantly reducing review time while achieving better accuracy than human review.

Trusted by Industry Leaders

"I have worked closely with the Adappt team on technically demanding software initiatives and found their work to be consistently first-rate. Their engineering discipline is strong, and their capabilities in artificial intelligence are outstanding."
— — Right Honorable Ronald Spoehel, Defence & Aerospace Executive, Former NASA CFO

AI Solutions vs Traditional Approaches

Traditional Analytics

•Limited to structured data

•Manual analysis required

•Slow response times

•Human bias in interpretation

•Cannot scale to big data

Generic AI Platforms

•One-size-fits-all approach

•Limited customization

•High costs for enterprise features

•Vendor lock-in

•Generic models that don't fit your domain

In-House AI Development

•6-12 month development cycles

•Requires specialized talent

•High upfront investment

•Ongoing maintenance burden

•Risk of project failure

Adappt AI Solutions

•Purpose-built for your domain

•4-6 week proof of concept

•Production-ready in 3-6 months

•Continuous learning and improvement

•Proven at scale with real-world impact

AI Solutions Questions

Not always. We've built effective AI with hundreds of examples using transfer learning and synthetic data. Quality matters more than quantity.

We set realistic expectations upfront. Our POC phase establishes achievable accuracy. Most production systems achieve 85-95% accuracy, improving over time.

We actively detect and mitigate bias through diverse training data, fairness metrics, and regular audits. Responsible AI is non-negotiable.

AI augments human capability, not replaces it. Your team makes better decisions faster with AI support. We design for human-AI collaboration.

Privacy by design. Data minimisation, encryption, access controls, and compliance with all relevant regulations. We're ISO 27001 certified. Please see our Data Privacy Policy link in the footer.

All AI systems have confidence thresholds and human oversight for critical decisions. We design for graceful failure and continuous improvement, ensuring you get the BEST AI tools for YOR requirments.

Ready to Harness Real AI Impact?

From proof of concept to production, we deliver AI that works

Whether you're exploring AI possibilities or ready to transform your operations, let's discuss how purpose-built AI can solve your specific challenges. No hype, no false promises—just proven AI expertise applied to your real problems.

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