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Generative AI

GenAI that actually ships.

RAG systems, copilots and agents that make it past the demo. We pair model choice with evaluation harnesses, guardrails and governance so your GenAI projects earn executive trust — not just a mention in the annual report.

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Generative AI interface

What we build.

  • Retrieval-Augmented Generation (RAG) platforms on your data
  • Enterprise copilots for sales, support, HR, finance, engineering
  • Agent systems with tool-use, memory and long-running workflows
  • Fine-tuning (LoRA, QLoRA), distillation and domain adaptation
  • Multi-modal systems — text, image, audio, code
  • LLMOps — evaluation harnesses, prompt registries, observability
  • Governance — PII handling, prompt-injection defenses, policy-as-code
Model-agnostic

Right model, right job.

We are not married to a single vendor. We benchmark and pick the combination that fits your quality, latency, privacy and cost profile.

Frontier LLMs

GPT-5 family, Claude Sonnet/Opus, Gemini — via enterprise APIs

Open-weight

Llama, Mistral, Qwen, Gemma — self-hosted where privacy demands it

Vector & retrieval

Pinecone, Weaviate, pgvector, OpenSearch, hybrid BM25 + dense

Orchestration

LangGraph, LlamaIndex, semantic-kernel, custom evaluators

From boardroom idea to working pilot in 6 weeks.

Our GenAI Launchpad engagement takes you from use-case selection to a measurable pilot — with guardrails — in as little as six weeks.

Explore GenAI Launchpad