Pure Technology
Generative AI Development

Generative AI products that earn their keep.

Generative AI tools, copilots, and content systems — built for real workflows, with the evals, guardrails, and economics to ship to production.

20+
GenAI products
98.6%
Eval pass rate
60%
Cost vs. naive RAG
Multi-modal
By default

Built for teams that need this to just work.

Who this is for

  • Product teams building AI copilots inside existing SaaS products.
  • Content and marketing orgs scaling output without losing brand voice.
  • Internal tool teams shipping generative workflows for ops, legal, HR.
  • Enterprises needing fully governed GenAI inside their VPC.
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

Large Language Models

GPT-4oClaude 3.5Gemini 1.5
L6

Fine-tune Engineers

Fine-tuning & Align.

LoRADPORLHF
L5

RAG Engineers

Retrieval-Augmented

LlamaIndexLangChainpgvector
L5

Prompt Engineers

Prompt Engineering

DSPyGuidanceOutlines
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.

Text generation systems

Copilots, drafting tools, summarizers, and rewriters — tuned to your tone and policies.

Image & vision systems

Generation, editing, OCR, and visual understanding — including diffusion fine-tuning where relevant.

Code generation

Code copilots for internal codebases — fine-tuned on your conventions and architecture.

Multi-modal pipelines

Text + image + audio fused into workflows like document understanding and inspection automation.

Eval & safety

Brand voice evals, factuality evals, bias testing, and red-team coverage tuned per use case.

Cost engineering

Smart routing, prompt caching, model cascading, and per-feature spend budgets.

Outcomes that matter

Numbers from real engagements.

4.7/5
User NPS

Generative drafting tool inside a B2B SaaS — measured at 30-day usage.

60%
Cost reduction

Vs. naive single-model RAG, via smart routing and prompt caching.

11×
Faster workflows

Document review pipeline using multi-modal extraction + LLM summarization.

Case studies

Recent work, anonymised where it has to be.

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

Marketing Enterprise
CPG
Case study

Marketing Enterprise

Challenge — Creative teams needed gen-AI for copy and imagery but brand/legal had no guardrails or approval workflow.

What we did — Brand-tuned gen pipeline with policy filters and marketer HITL. Time-to-campaign cut 35% with legal pre-approved templates.

35%
Faster campaigns
100%
Brand review
0
Off-brand launches
EdTech
Education
Case study

EdTech

Challenge — Personalised lesson plans were manual; teachers rejected early AI drafts as generic and non-curriculum aligned.

What we did — Fine-tuned generation on curriculum corpus with teacher edit loop. Adoption hit 78% of active instructors in one term.

78%
Teacher adoption
1 term
Rollout
4.5/5
Educator rating
FAQ

The questions we hear most.

Can it be on-prem?+

Yes — many engagements use open-weight models running in your VPC or on-prem GPUs.

How do you handle IP and licensing?+

We track model and dataset licenses and only ship into commercial use cases with clean provenance.

What about copyright risk on outputs?+

We layer model choice, prompt patterns, and output filters to minimize regurgitation risk.

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.