Custom LLMs & fine-tuning
Fine-tune open models such as Llama, Mistral and Qwen on your data, or train smaller domain models that beat general ones on your tasks.
Services · AI & LLMs
We build AI, all the way down to the model.
From custom and fine-tuned LLMs to agents and classic machine learning, we build AI that solves a specific business problem and moves a real number. Our AI work is led by an IISc-trained ML engineer and red-teamed by our own security researchers before anything ships.
What we build
Six things we do well.
We pick the simplest approach that hits your target, whether that's a retrieval system on an existing model or a fine-tuned model of your own.
RAG & knowledge systems
Assistants grounded in your documents, tickets and databases, with citations and access controls that match your org.
AI agents & automation
Agents that take multi-step actions across your tools, with human approval on the steps that matter.
Machine learning models
Forecasting, fraud and risk scoring, recommendations, anomaly detection and computer vision.
LLM evaluation & safety
Benchmarks on your real tasks, plus red teaming for injection, jailbreaks and data leakage before launch.
Private deployment & MLOps
Run models in your own cloud or on-prem, with monitoring, versioning and cost control.
How we build an LLM
Six steps, with security built in.
Every model goes through the same pipeline, and step five is run by the same researchers who test our clients' production systems.
01Your dataDocs, tickets, logs and databases, kept in your environment.
02Curate & labelClean, deduplicate and build training and test sets.
03Fine-tune or RAGPick the cheapest approach that hits the target.
04EvaluateMeasure on your real tasks against a baseline.
05 · SECURITYRed-teamInjection, jailbreak and data-leak testing by our researchers.
06 · SHIPDeploy & monitorPrivate cloud or on-prem, with drift and cost tracking.
Secure by default, because security is what we do
Private deployments, role-based access, prompt-injection testing and audit logs come standard on every AI build.
Use cases
Where AI moves a real number.
Common problems we solve for growing and enterprise businesses. Yours might look different, and that's fine.
Document intelligence
Read invoices, contracts and claims, pull out the fields that matter and route them without manual entry.
PDFs, scansstructured data
Internal knowledge assistants
Give teams answers grounded in your own policies, tickets and wikis, with sources and permissions intact.
your docscited answers
Support copilots
Draft replies, summarize threads and suggest next steps so agents resolve tickets faster.
ticket queuedrafted replies
Forecasting & anomaly detection
Predict demand, spot unusual spend or traffic early, and alert the people who can act on it.
time seriesforecasts, alerts
Fraud & risk scoring
Score transactions, sign-ups and claims in real time and explain why each one was flagged.
eventsrisk scores
AI for security teams
Triage alerts, summarize incidents and prioritize vulnerabilities with models trained on our own research.
alerts, findingsranked actions
How an AI engagement works
Prove it small, then scale it.
We start with one problem and a measurable outcome, so you see results before committing to a larger build.
Discovery
Pick one problem, define the metric that matters, and audit the data you already have.
You get: a scoped plan, success metric and fixed quote.
Prototype
A working model or assistant on your real data, evaluated against your baseline.
You get: a demo, an eval report and a model card.
Production
Harden, red-team and deploy in your environment, with monitoring and a handover.
You get: a secure deployment your team can run.
FAQ
Questions, answered.
Something else on your mind? Ask us directly
Can you build a custom LLM for us?
Yes. We fine-tune open models on your data or build retrieval systems around them, evaluate them on your real tasks, and deploy them privately in your cloud or on-prem.
Do we need a lot of data?
Not always. Many problems are solved with retrieval over the documents you already have. We'll tell you in discovery whether fine-tuning is worth it.
Where does our data go?
We design systems so your data stays in your own environment. We can deploy open models entirely inside your cloud account.
How do you keep AI systems secure?
Every build is red-teamed by our security researchers for prompt injection, jailbreaks and data leakage, and ships with access controls and audit logs.
Which models do you work with?
Open models such as Llama, Mistral and Qwen, as well as hosted models from major providers. We choose based on accuracy, cost, latency and where your data can go.
Start an AI project
Put AI to work.
Bring us one problem. We'll scope it, prototype it on your data, and show you the numbers.