Pure Technology
Custom AI Development

Custom AI that fits your data — not the demo.

Bespoke ML and LLM systems trained, fine-tuned, and operated against your data, your constraints, and your customers.

40+
Custom AI systems
12
Production LLMs
98.6%
Eval pass rate
MLOps
Built-in

Built for teams that need this to just work.

Who this is for

  • Companies whose data is their moat — and who refuse to send it to public APIs.
  • Teams needing specialized models for their domain (legal, medical, financial).
  • Product leaders building AI-native features that off-the-shelf models can't deliver.
  • Regulated industries needing fully auditable, in-VPC AI systems.
Technology Expertise

Technologies Your Teams Already Trust.

We build teams around modern engineering ecosystems ensuring every developer is aligned with your stack, workflows, and delivery standards.

L6

LLM Engineers

Foundation Models

OpenAIAnthropicGemini
L5

Prompt Engineers

Prompt Design

DSPyLangChainGuidance
L5

RAG Engineers

Retrieval Systems

LlamaIndexPineconepgvector
L6

Fine-tune Engineers

Fine-tuning

LoRAQLoRAAxolotl
What we deliver

A full-stack capability - not a job title.

Every engagement is led by senior practitioners. You meet them in the pitch; they ship the work.

Model selection & training

Open and closed model evaluation, fine-tuning, LoRA, distillation, and full pretraining where it pays off.

RAG & knowledge systems

Production-grade retrieval over your docs, tickets, code, and structured data — with citations and fallbacks.

Multi-modal AI

Vision, speech, OCR, and structured + unstructured fusion — applied to real customer flows.

Evals & guardrails

Domain-specific eval suites, red-team harnesses, and policy-aware guardrails — wired into CI.

MLOps & inference

Model registry, A/B routing, autoscaling inference, and cost-aware serving on GPU or CPU.

Observability

Token-level tracing, drift detection, and per-feature cost attribution — not just dashboards.

Outcomes that matter

Numbers from real engagements.

0
Hallucinations in eval

On medication name extraction for a HealthTech client — measured against a 5k-row gold set.

₹14 Cr
Annual ops savings

Custom assistant deployment at a top-5 Indian private bank reduced AHT by 37%.

11×
Faster than human

Clinician chart review accelerated 11× with no drop in accuracy on flagged cases.

Case studies

Recent work, anonymised where it has to be.

Numbers are real, names are sometimes changed at the client's request.

Document AI Co.
LegalTech
Case study

Document AI Co.

Challenge — Generic LLM APIs couldn't hit accuracy on domain-specific contracts — fine-tuning attempts stalled without eval discipline.

What we did — Custom model with golden-set evals and regression gates. Extraction F1 improved from 71% to 93% on production docs.

93%
F1 score
+22 pts
Accuracy gain
6 wks
Model iteration
MedTech
Healthcare
Case study

MedTech

Challenge — Clinical note summarisation needed on-prem inference and strict PHI handling — cloud APIs were non-starters.

What we did — On-prem inference stack with de-identification pipeline and clinician review UI. Deployed to 12 hospitals in phase one.

12
Hospitals live
On-prem
Inference
4.6/5
Clinician NPS
FAQ

The questions we hear most.

Do you train models from scratch?+

Rarely — fine-tuning, RAG, and adapter methods deliver better ROI for most enterprise problems.

Can the models run in our VPC?+

Yes — most engagements run entirely in your cloud account, with no data leaving your boundary.

How do you measure success?+

Every engagement starts with a domain-specific eval set; we report against it weekly.

Related services

Most engagements span more than one practice.

Free consultation

Turn Your Vision
Into Reality

What's Next?

  1. 1

    Drop your requirement and our expert will analyze further

  2. 2

    Outlining it, we will build roadmap and connect with you

  3. 3

    Further, finalize the approach and begin implementation

Your Tech-Powered Success is on Us

Ready to scope this in detail?

A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.