Build custom AI software, autonomous agents, and enterprise RAG pipelines. Integrate OpenAI, Anthropic, or Gemini models into secure, scalable workflows.
Reply within one working day · Fixed quote in 5 days · No sales decks
Engagement overview
Book a technical discovery session with our senior engineering lead.
Core AI software engineering capabilities:
Good fit if
Founders building AI-native SaaS products, intelligent workflow bots, automated document analyzers, or embedding LLMs into existing web and mobile platforms.
Hybrid dense/sparse vector retrieval with pgvector or Pinecone, contextual chunking, and verifiable source citations.
Multi-step reasoning loops, deterministic tool calling, background queues, and human-in-the-loop approval checkpoints.
Dynamic fallback between frontier models (GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro) and cost-effective local/open-source models with prompt caching.
Zero model retraining on customer data, encrypted credentials, tenant-level vector isolation, and rate-limited endpoints.
We lock data models, API contracts, and user acceptance criteria before writing code. You get an exact scope and fixed timeline.
Figma user flows and staging reviews so you see working interfaces before engineering spend expands.
Senior engineers push directly to your GitHub repository. Working code daily with clean pull requests and automated tests.
Zero-downtime production cutover, documentation handover, and a 30-day post-launch warranty with full code ownership.
Questions we hear on discovery calls—answered plainly.
Founder guide
MVP Development Cost in India (2026): An Honest Breakdown for Founders
A practical guide for founders researching budget and timelines.
Read guideA prototype is a simple API call. A production AI app includes vector chunking, retrieval benchmarks, token cost controls, error fallbacks, latency optimization, and audit logging.
Yes. We build secure RAG connectors that query your private PostgreSQL, CRM records, or cloud storage without leaking data to public LLM training sets.
We implement semantic caching, prompt token compression, and tiered model routing so simple requests use lightweight models, reserving frontier LLMs only for complex reasoning.
Yes. 100% of all prompts, evaluation code, fine-tuning scripts, and application logic belong entirely to you.
Hub: ai-software-development. Explore the spokes and downloads buyers use before signing scope.
You get a fixed quote in 5 working days. Then a senior engineering team that ships.
