We design, fine-tune, and deploy custom language models, RAG pipelines, and AI agents that integrate cleanly with your product and workflows.
What's included
Domain-specific models trained on your data with evals and guardrails.
Multi-step agents that execute real work across your tools and APIs.
Retrieval-augmented systems for accurate, cited answers from your knowledge base.
Forecasting, churn, and recommendation models embedded in your product.
Copilots, summarizers, and workflow tools that unlock team productivity.
How we work
Every project is scoped around measurable business goals. Teams in Lahore, London, and New York move together on one shared timeline.
Workshop to identify high-ROI AI opportunities and rule out the ones that are hype.
Datasets, evaluation harnesses, and guardrails defined before any model training.
Rapid prototypes on frontier models, then fine-tune or distill for cost and latency.
Wire models into your product, CRM, or internal tools with observability and rate-limits.
Continuous eval runs, prompt versioning, and model upgrades on a monthly cycle.
What you get
Our stack
FAQs
Usually no. Frontier APIs plus retrieval and prompt-engineering solve 80% of use cases faster and cheaper.
We deploy in your cloud, use zero-retention endpoints, and never train shared models on your data.
Yes — REST, GraphQL, webhooks, and direct SDKs into your CRM, support, and product.
Get a free consultation from a senior specialist on our team.
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