Generative AILLMs & Foundation Models

Generative AI accurate enough to put your name on.

Off-the-shelf LLMs hallucinate, leak, and embarrass you in front of customers. We build custom generative AI — fine-tuned models, RAG pipelines, enterprise chatbots, OpenAI integrations — grounded in your domain and hardened for production scale.

Senior engineers only — no juniors on your dimeYou own 100% of the codeWe reply within 24 hours

Key performance indicators

Hallucination rate reduction vs. baseline

Token generation latency (ms)

Domain-specific accuracy (MMLU)

Cost per 1k tokens in production

Measured on every engagement

Delivery plan

Plan delivery, hit milestones, measure outcomes

Generative AI projects are delivered in discrete milestones, with weekly checkpoints and transparent reporting across all phases.

Milestone-based delivery

Progress you can verify, sprint by sprint

  • A working demo every week — not a status deck
  • A direct line to the engineers building it
  • Scope locked per milestone — no surprise invoices
  1. 1

    Phase 1

    Use-case definition & data audit

  2. 2

    Phase 2

    Model selection & prompt engineering

  3. 3

    Phase 3

    Fine-tuning, RAG design & evaluation

  4. 4

    Phase 4

    Production deployment & monitoring

Deliverables

What we hand over

Concrete, verifiable artifacts produced during delivery — quality you can audit, not promises.

01

Fine-tuned or RAG-augmented model

02

Evaluation report & benchmark results

03

Secure inference API & guardrails

04

Retraining & versioning pipeline

What we measure

Expected outcomes

Every engagement is tracked against results you can put in front of your board — not effort, outcomes.

01

Generative AI reliable enough to ship to customers

02

Full visibility for every stakeholder, every week

03

Hallucinations and token costs kept on a leash

How we integrate

Engagement blueprint

How our teams plug into yours — from day one.

Core team

  • LLM solution architect
  • Prompt & fine-tuning engineer
  • MLOps engineer

Prerequisites

  • Clear use-case definition
  • Access to domain data or knowledge base
  • Designated milestone owner

Engagement models

  • Fixed-scope milestone plan
  • Continuous sprint delivery
  • Release-train integration

Let's build something extraordinary

From LLM fine-tuning to enterprise RAG and chatbots — generative AI delivered end to end, grounded, and safe to ship.

2000+ vetted engineers · 3 global hubs · 98% client retention

FAQs

Generative AI questions

Questions about our process, pricing, or technology? Clear answers to the most common ones.

Still have questions?

We reply within one business day.

Talk to an expert

Contact Us

for project discussion

Once you fill out this form, our sales representatives will contact you within 24 hours.

2000+
Talents Vetted
3+
International Offices
100+
Project Delivered
50%-70%
Average Cost Saving

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