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.
Key performance indicators
Hallucination rate reduction vs. baseline
Token generation latency (ms)
Domain-specific accuracy (MMLU)
Cost per 1k tokens in production
Delivery plan
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
Phase 1
Use-case definition & data audit
Phase 2
Model selection & prompt engineering
Phase 3
Fine-tuning, RAG design & evaluation
Phase 4
Production deployment & monitoring
Deliverables
Concrete, verifiable artifacts produced during delivery — quality you can audit, not promises.
Fine-tuned or RAG-augmented model
Evaluation report & benchmark results
Secure inference API & guardrails
Retraining & versioning pipeline
What we measure
Every engagement is tracked against results you can put in front of your board — not effort, outcomes.
Generative AI reliable enough to ship to customers
Full visibility for every stakeholder, every week
Hallucinations and token costs kept on a leash
How we integrate
How our teams plug into yours — from day one.
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
Questions about our process, pricing, or technology? Clear answers to the most common ones.
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