AI Development Services
We design, build, and ship production‑ready AI systems - from custom LLM apps and retrieval‑augmented systems to model training, evals, and MLOps.
- / Trust By
Model‑agnostic (gpt5, Grok, Gemini). Built with LangGraph, LangChain, Python, FastAPI. We prioritize SLOs, security, and measurable ROI.
Outcome‑first
Security‑minded
Production‑ready
- / Techstack
Our toolkit
What we build
End‑to‑end delivery: discovery → architecture → build → harden → launch → iterate.
Custom LLM Applications
Chat, copilot, and agentic apps tailored to domain rules and KPIs.
Retrieval‑Augmented Generation (RAG)
Fresh, cited answers from your content: pipelines, chunking, embeddings, guards.
AI Agents & Workflows
Tool‑using agents with memory, approvals, and safe actions via LangGraph.
NLP & Document AI
Extraction, classification, topic modeling, summarization, and QA.
Computer Vision
Detection, OCR, similarity search, and quality checks for ops & ecommerce.
Model Engineering
Fine‑tuning, preference optimization, distillation, and evaluation.
Data Engineering
ETL/ELT, feature stores, vector DBs, and governance with access controls.
MLOps Platform
CI/CD for prompts & models, tracing, canaries, A/B tests, and observability.
Outcomes you can expect
Time‑to‑value
≤ 8 weeks MVP
Quality
Eval datasets + traces, pass@k, factuality, and safety checks
Cost & Latency
Budgets & SLOs defined upfront
Adoption
Rollout playbooks and training for teams
Our delivery process
- / Process
1/6
Use cases, constraints, KPIs, and success criteria.
Discover
2/6
Reference architecture, data flows, policies, and UX.
Design
3/6
RAG, tool use, adapters, and automated tests.
Develop
4/6
Security, evals, monitoring, and tuning.
Harden
5/6
Canary + A/B, SLOs, and stakeholder training.
Launch
6/6
Feedback loops, roadmap, and scale‑out.
Improve
Who we build for
Start with a focused use case and expand to a portfolio of AI capabilities.
Ecommerce
Fintech
Operations
Customer Support
Marketing
HR & IT
Logistics
Healthcare
Engagement models
Project‑based Delivery
Fixed‑scope builds with clear timelines, budgets, and KPIs.
Dedicated Team
Embedded squad for continuous delivery and rapid iteration.
Co‑build & Enablement
We build while upskilling your team with playbooks and templates.
- / FAQs
Frequently Asked Questions
- Can you work with our security & compliance team?
Yes. We align to policies, document data flows, and support VPC or on‑prem as needed.
- Do you replace our data team?
No, we partner with them. Roles across IT, data, and business are clarified up front.
- How do you ensure quality?
Eval datasets, traces, regression suites, canaries, and continuous monitoring.
- How fast can we launch?
A focused MVP typically ships within 6–8 weeks depending on data and integrations.
Ready to build with AI?
We’ll define the MVP, architecture, KPIs and ship something useful fast.