We Build AI that Ships & Scales
Turn breakthrough models into revenue-driving products—fully managed, compliant, and measurable from day one
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What we Build
Smart Workflows & Decision Automation
Streamline processes from claims form extraction and document triage, to alerting systems that cut manual reviews
AI Infrastructure & MLOps
Build end-to-end infrastructure, from storing data in vector databases optimized for fast retrieval to serving models reliably
Research-to-Production Advisory
Feasibility studies, model audits, risk & governance workshops.2
What We've Delivered
16× fewer errors than base LLMs — human-verified
Agentic GraphRAG AI Chatbot with less than 1.38% Hallucination Rate
Boosted publishing velocity → more traffic, better SEO, deeper engagement
Complex domain data modeled into powerful ontologies creates helpful AI services
100% Proprietary, AI-Written Articles
Fully referenced, publication-ready pieces — using an AI trained in the organisation’s voice
Auto-flag errors with a custom rules engine
Using AI for tedious work, transforming human reported issues into automated QA testing
Make Your AI Systems Reliable
Whether you’re racing to meet compliance, ship faster, or embed AI that actually works—reliability isn’t optional. We help you deploy production-ready systems that earn trust from auditors, end-users, and investors alike.3
Our Method
Discovery & Feasibility
Prototype & Validate
Build & Integrate
Operate & Improve
Turning your data into an intelligent knowledge graph
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security and compliance assurance
OWASP Top 10 for LLMs compliance
NIST AI Risk Management Framework
EU AI Act requirements
MITRE ATLAS framework for AI threat landscapes
Google's Secure AI Framework (SAIF)
ISO/IEC 42001 – AI Management System Standard
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AI Tech Ecosystem Grid
AI & Data-Science
TensorFlow · PyTorch · Scikit-learn · Pandas / NumPy · Hugging Face Transformers · LangChain · LlamaIndex
Databases & Vectors
PostgreSQL · Neo4j / GraphDB · Snowflake · Pinecone · Weaviate, Zilliz / Milvus · ElasticSearch
MLOps & Serving
Kubeflow · MLflow · Vertex AI · SageMaker · TensorFlow Serving · TorchServe · CI/CD (GitHub Actions) · Prometheus / Grafana
Cloud & Infra
AWS · GCP · Azure, Docker · Kubernetes · Terraform, NVIDIA CUDA · Cloud Run · AWS Lambda · Firebase
Languages & Frameworks
Python · TypeScript · React / Next.js · Kotlin / Flutter · Go · GraphQL · FastAPI / Express
Campgrounds — Private AI Chat, Deployed Anywhere
Run it offline, on-prem, or in your own cloud. Your data never leaves your walls.
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What users say about our ai
“We should factor in our editorial workflow more into its logic, because it is really distinguished from other bots
AI Product Owner, News Site
“The work is excellent
MichaelAI Security Startup
“We’re not just launching another AI tool, we’re defining how newsrooms can harness data and AI to build public trust
Data Scientist, News and Media Site
“We should factor in our editorial workflow more into its logic, because it is really distinguished from other bots
AI Product Owner, News Site
“The work is excellent
MichaelAI Security Startup
“We’re not just launching another AI tool, we’re defining how newsrooms can harness data and AI to build public trust
Data Scientist, News and Media Site
Article•
Overcoming LLM Hallucinations with Trustworthiness Scores
In today's AI-driven world, businesses increasingly rely on large language models (LLMs) to scale operations. However, the risk of AI generating inaccurate or misleading information can also scale, posing significant challenges. This article delves into trustworthiness scoring, exploring its key dimensions and techniques. Through real-world examples, we show how trustworthiness scores can help mitigate LLM hallucinations, making your AI solutions more reliable and accurate. Discover how to enhance the trustworthiness of your AI implementations in our comprehensive guide, with a nod to the work done by MIT's CleanLabs.
Article•