LLMs tuned for your domain.
From selecting the right foundation model to fine-tuning it on your data and deploying it behind your API with proper guardrails. We build LLM systems that are accurate, safe, and cost-efficient.
Cost reduction vs. GPT-4 with fine-tuned smaller models
Domain-specific task accuracy after fine-tuning
P95 inference latency
API uptime SLA
What we build
LLM capabilities from lab to production.
Fine-tuning & adaptation
LoRA, QLoRA, full fine-tuning on your domain data. We pick the right base model and training strategy to maximize quality while minimizing compute costs.
Prompt engineering
Systematic prompt design with few-shot examples, chain-of-thought, and structured outputs. Versioned, tested, and optimized — not ad-hoc strings.
Model evaluation
Custom benchmarks, A/B testing, human evaluation pipelines. We measure what matters for your use case — not just generic leaderboard scores.
Guardrails & safety
Content filtering, PII detection, output validation, jailbreak prevention. We build safety layers that protect your users and your brand.
Optimization & serving
Quantization, batching, speculative decoding, KV-cache optimization. We squeeze maximum throughput from your GPU budget.
Model selection & routing
Not every query needs GPT-4. We build intelligent routing that sends simple queries to fast models and complex ones to capable models — cutting costs 3-5x.
Sound familiar?
LLM problems we solve every sprint.
“GPT-4 is too expensive for our use case at scale.”
We fine-tune smaller open-source models on your data. You get 90%+ of GPT-4 quality at 10-20% of the cost, running on your own infrastructure.
“Our LLM gives inconsistent outputs — different formats every time.”
We implement structured output with JSON schema validation, few-shot examples, and retry logic. Consistent, parseable responses every time.
“We need to use LLMs but our data can't leave our infrastructure.”
We deploy open-source models on your cloud or on-prem. Full data sovereignty, no external API calls, same capabilities.
Tech stack
Tools we use in production.
Ready to build
Let's build LLMs that fit your business.
45 minutes with our LLM engineers. We'll evaluate your use case, recommend the right model strategy, and outline the path from prototype to production.
AI projects we delivered
