Kavas.
Applied AI & LLMs

Language models, trained on your business.

We fine-tune, evaluate, and ship language models grounded in your own data — copilots, retrieval systems, and agents that sound like you, cite real facts, and run on infrastructure you own. Not a generic chatbot bolted onto the side.

eval · support-copilot-v3PASSED
Evaluation scores
Answer accuracy94.2
Brand-tone match0.91
Safety / policy99.1
Citation coverage96.5
Training loss↓ converged
How We Think About AI

Useful, measured, and yours.

01

Grounded in your data

Models learn from your tickets, documents, and records — not the open web — so answers reflect how your business actually operates.

02

Measured before they ship

Every model is scored on held-out data for accuracy, tone, and safety. We release on evidence, not vibes.

03

Right-sized, not oversized

We pick the smallest model that clears the bar — cheaper to run, faster to answer, and far easier to own.

04

Owned by you

Weights, prompts, pipelines, and infrastructure are yours. No black box, no per-seat lock-in.

What We Build

The full AI stack, end to end.

01

LLM Fine-tuning & Training

Adapt open models to your task and voice with supervised and preference tuning on your curated data.

SFT · LoRA / PEFT · DPO
02

Retrieval (RAG) & Search

Semantic search and grounded answers that cite the exact source — over your docs, tickets, and records.

Embeddings · pgvector · Rerank
03

Agents & Automation

Multi-step agents that take real actions across your tools, with the guardrails to do it safely.

Tools · Planning · Guardrails
04

Evaluation & Safety

Eval harnesses, red-teaming, and guardrails so you know — and can prove — a model is ready.

Evals · Red-team · Tracing
05

Inference & Deployment

Efficient serving with quantization and autoscaling — on your infrastructure or ours.

vLLM · Quantization · Autoscale
06

Data Curation & Labeling

Turning raw, messy data into the clean, high-signal training sets that make models actually work.

Cleaning · Labeling · Synthesis
Model Training

We train models — not just prompt them.

Prompting only goes so far. When the task is specific, the data is yours, and the bar is high, a trained model is faster, cheaper, and more reliable than a giant general one. We choose the right technique for the job and prove it on your data.

Supervised fine-tuning (SFT)LoRA / PEFTPreference tuning (DPO / RLHF)DistillationQuantization (int8 / int4)Continued pretraining
01
Curate
Assemble and clean a high-quality dataset from your own systems.
02
Fine-tune
Train with the right technique for the task, tracked end to end.
03
Evaluate
Score on held-out data for accuracy, tone, and safety.
04
Deploy
Serve efficiently and ground it in your live systems.
05
Monitor
Watch quality in production and retrain as your data shifts.
AI in Production

AI work we've shipped.

All case studies

Have data and a problem worth solving?

Tell us what you want the model to do. We'll tell you honestly whether AI is the right tool — and how we'd build it.

Scope an AI Project