
LLMs · RAG · Agents · Automation
From RAG pipelines and autonomous agents to end-to-end automation we build AI systems that work in production not just in demos.
What We Build
We don't wrap APIs and call it AI. We architect intelligent systems from data pipelines and model selection to deployment, evaluation, and continuous improvement.
We integrate GPT-4o, Claude 3.5, Gemini 1.5 Pro, and open source models like Llama 3 and Mistral into your product. Where off the shelf models fall short, we fine tune on your proprietary data.
Retrieval-Augmented Generation systems that give your LLM accurate, up-to-date context from your own knowledge base documents, databases, APIs with semantic chunking, reranking, and hybrid search.
Multi step autonomous agents built with LangChain, CrewAI, and AutoGen that plan, reason, use tools, and execute complex tasks without human intervention from research agents to code writing pipelines.
End-to-end intelligent automation pipelines connecting your SaaS tools, databases, and AI models. Trigger based workflows, scheduled agents, and webhook driven pipelines that eliminate repetitive work.
Replace keyword search with meaning-based semantic retrieval. We build vector databases, embedding pipelines, and reranking systems that surface the right information even when the query is vague.
Speech-to-text transcription with Whisper, image understanding with GPT-4 Vision, video analysis, OCR pipelines, and multimodal workflows that process text, audio, and images together.
The AI Stack
We work across the entire AI toolchain from frontier models to vector databases, orchestration frameworks, and automation platforms.
Infrastructure & APIs








Our Approach
Most AI demos look good. Most AI systems in production hallucinate, drift, or silently degrade. We build the unglamorous parts evaluation pipelines, output tracing, fallback handling, and feedback loops that make AI reliable at scale.
Every system we ship includes observability from day one. We use LangSmith, custom tracing, and automated benchmarking so you can see exactly what your AI is doing and catch problems before your users do.
Talk to our AI teamPrompt Engineering & Chaining
Structured prompts, few shot examples, and chain of thought reasoning for consistent outputs.
Evaluation & Benchmarking
Automated test suites that score model outputs against ground truth before every deployment.
Cost Optimisation
Intelligent model routing use GPT-4o where it matters, smaller models where it doesn't.
Security & Compliance
Prompt injection protection, PII redaction, and data residency controls built in from the start.
How We Work
AI projects fail when the problem isn't well defined. We start with strategy, not code.
We assess your current workflows, identify high ROI automation opportunities, and define the right AI approach off-the-shelf, fine tuned, or fully custom before writing a single line of code.
We prepare your data cleaning, chunking, embedding, and indexing and select the most cost-effective model for your use case. Not always the biggest model. Always the right one.
RAG pipelines, agent frameworks, automation workflows, and API layers built and wired into your existing product. Every feature is evaluated, traced, and benchmarked before it ships.
AI systems degrade silently. We deploy with LLM tracing, output evaluation, and feedback loops so your system improves over time not just on launch day.
Portfolio
Not prototypes. Not experiments. Shipped AI products used by real businesses.
Start a Project
Tell us what you're trying to solve. We'll tell you whether AI is the right answer and if it is, exactly how we'd build it.