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.

Related case studies

Proof from similar work.

A few relevant engagements that match this service area.

Global Wellness & Spiritual Guidance Platform
Wellness, Spirituality & Personal Development
Case study

Global Wellness & Spiritual Guidance Platform

Challenge — AI Vedic astrology platform serves 100,000+ users across 45 countries with 95% satisfaction rate.

What we did — Built an AI platform merging Vedic wisdom with technology delivering personalized astrological guidance. Reduced consultation wait time from 45-90 minutes to 3-5 minutes while saving users $200-300 monthly on consultation costs.

95%
User satisfaction rate
99%
Reduction in wait time
92%
Calculation accuracy
AIML-powered tire verification system
Tire Manufacturing
Case study

AIML-powered tire verification system

Challenge — AI-powered tire verification system achieved 99% barcode accuracy and cut inspection time by 80%.

What we did — Built an AI and ML-powered tire verification system integrated with IoT-enabled PDA devices and a cloud-based reporting platform. Automates tire size consistency checks, barcode validation, and real-time data logging — eliminating manual paperwork and significantly reducing labor costs.

80%
Reduction in Inspection Time
99%
Accuracy in Barcode Verification
60%
Increase in Productivity
Professional Event Photography Organization
Photography, Events & Digital Media
Case study

Professional Event Photography Organization

Challenge — AI facial recognition platform reduced post-production time from 25 to 3 hours while scaling discovery rates from 30% to 94%.

What we did — Built an AI-powered facial recognition platform enabling event guests to instantly retrieve all their photos via selfie upload. Eliminated manual sorting bottlenecks, ensured GDPR compliance, and enabled same-day gallery delivery.

85%
Reduction in post-production time
92%
Increase in client satisfaction
98%
Facial recognition accuracy
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.

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.