Generative AI & LLMs
LLM applications that are grounded, evaluated, and cost-aware — not thin wrappers around a prompt.
Generative AI & LLMs that earns its place in production
Generative AI is easy to demo and hard to depend on. We build LLM applications that hold up: grounded in your data, guarded against hallucination, evaluated continuously, and engineered to keep latency and token cost under control at scale.
Whether you need a copilot, a content engine, a summarizer, or a structured-extraction pipeline, we design the orchestration, retrieval, prompts, and evals together — and we make the trade-offs (model choice, caching, fine-tuning vs. prompting) explicit and measurable.
Key capabilities
LLM app engineering
Copilots, assistants, and content engines built to ship.
Prompt & orchestration
Structured prompting, tool use, and multi-step chains.
Fine-tuning & adaptation
When prompting isn't enough, we fine-tune responsibly.
Eval & guardrails
Automated evals, safety filters, and hallucination checks.
Where it delivers
Internal copilots
Assistants grounded in your wikis, code, and policies.
Content generation
On-brand drafts with human-in-the-loop review.
Structured extraction
Turn messy documents into clean, validated data.
Frequently asked
We're model-agnostic. We benchmark candidates (proprietary and open) against your evals on quality, latency, and cost, and design so you can switch models without a rewrite.
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Let's build something worth building.
Tell us about your product or process. We'll come back with a clear, honest plan — and a fixed first step.