AI isn't a feature you bolt on — it's an architectural decision. We embed large language models, retrieval-augmented generation, computer vision, and predictive intelligence directly into your product workflows, making AI a genuine competitive moat rather than a marketing checkbox.
Every engagement is built around your specific goals — here's the full scope of what we bring to the table.
OpenAI, Claude, Gemini, and open-source models integrated into your product. Structured output, function calling, streaming responses, and robust error handling.
RAG pipelines that let LLMs answer questions against your private knowledge base — with source citations, hallucination controls, and freshness guarantees.
Image classification, object detection, OCR, and document understanding. Deployed as APIs your existing systems can call in real time.
Churn prediction, demand forecasting, anomaly detection, and recommendation engines trained on your historical data.
Embedding search, semantic similarity, auto-classification, smart form autofill, and AI-powered content moderation built into existing product flows.
Prompt injection defences, output validation, content filtering, rate limiting, and audit logging so your AI features behave predictably in production.
A structured, transparent workflow so you always know what's happening and what comes next.
We map your workflows and identify the highest-ROI AI opportunities — not every process needs AI, and we'll tell you honestly which don't.
Evaluating your data quality, volume, and sensitivity to recommend the right model — hosted API vs. self-hosted open-source vs. custom fine-tuned.
A working proof-of-concept benchmarked against your quality criteria before full build investment.
Production-grade implementation with streaming, caching, fallbacks, and observability instrumented from the start.
Systematic adversarial testing — prompt injection attempts, edge case inputs, and bias evaluation before user-facing launch.
We use best-in-class tools and frameworks — chosen for your project, not for familiarity.
Everything you need to go live and grow — documented, handed over, and supported.
Not always. LLM APIs work well out of the box for language tasks. You need your own data for RAG (documents, knowledge bases) or fine-tuning (example completions). We'll tell you exactly what you need.
We use RAG with explicit source attribution, output validation schemas, and confidence thresholds. For high-stakes outputs we add a human-in-the-loop review step.
Only if you choose hosted APIs. We can deploy fully self-hosted open-source models (Llama 3, Mistral) on your own infrastructure if data privacy is a hard requirement.
It depends on usage volume and the model. We build cost monitoring in from day one and will model your expected API spend as part of the architecture phase.
Yes. We've integrated AI into Salesforce, HubSpot, Shopify, custom ERP systems, and bespoke APIs. If it has a REST endpoint, we can connect it.
Book a free 30-minute discovery call. No pitch, no pressure — just a genuine conversation about what you need.
