We integrate frontier AI models — from OpenAI to Anthropic to open-source — into your existing applications and workflows. Secure, observable, compliant, and production-hardened.
OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and open-source models via Ollama or vLLM. We pick the right model for your use case and budget.
Replace keyword search with semantic understanding. We build vector search pipelines using pgvector, Pinecone, Weaviate, or Qdrant — fast, scalable, and relevance-ranked.
System prompts, few-shot examples, chain-of-thought, tool use, structured output formatting. We tune prompts to maximise accuracy and consistency.
Input/output validation, PII redaction, harmful content filtering, hallucination detection, and output grounding. Production AI needs guardrails.
Every LLM call logged and traceable. Latency monitoring, cost tracking, and quality metrics dashboards. Full audit trail for regulated industries.
Semantic caching, request batching, model routing by complexity, and token budget management. Slash your AI API costs without sacrificing quality.
Custom web, mobile, and SaaS platforms built AI-first. We take you from rapid prototype to production MVP with AI at the core — not added as an afterthought. Fast to market, built to scale.
Connect CRM, ERP, document stores, and data warehouses so your AI has reliable, enterprise-grade context and business data.
Coordinate multiple AI tools, APIs, and human workflows into dependable multi-step automation that executes business processes end to end.
Secure API gateway patterns, encryption at rest and in transit, access controls, and compliance-ready data handling for regulated environments.
GPT-4o, GPT-4o-mini, o3, Whisper, DALL·E, Embeddings
Private deployments, EU data residency, enterprise SLA
Claude Sonnet, Opus — long context, nuanced reasoning
Gemini 2.5 Pro, multimodal reasoning, Google Workspace
Llama 3, Mistral, Gemma, Phi — self-hosted, zero data egress
It depends on your latency, accuracy, cost, and data residency requirements. We run benchmarks on your specific use case — there's rarely a single right answer, and the landscape changes fast. We help you pick the current best option and make it easy to switch later.
We apply PII redaction before data leaves your perimeter, use data processing agreements with providers, prefer EU-resident endpoints where available, and recommend self-hosted models for the most sensitive workloads.
Yes. We've integrated LLMs into Salesforce, SharePoint, ServiceNow, custom web apps, Slack, Teams, and bespoke internal platforms. If it has an API or webhook, we can connect it.
We've done this across dozens of stacks. We'll help you avoid the expensive mistakes and get to production fast.
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