RAG and retrieval systems
Vector search, document ingestion pipelines, and grounded LLM responses over your proprietary data, accurate, cited, and hallucination-resistant.
/Services / ai-ml-solutions
AI / ML Solutions
We build AI products that do genuinely useful work, retrieval-augmented generation, autonomous agents, fine-tuned models, and full evaluation pipelines. Every system we ship has cost controls, latency budgets, and measurable accuracy targets from day one.
01What we do
Capabilities in scope.
Autonomous AI agents
Tool-using agents that take actions, handle multi-step tasks, and escalate to humans when confidence is low. Built with LangChain, CrewAI, or custom orchestration.
Fine-tuning and model evals
Models fine-tuned on your domain data and evaluated rigorously with offline test suites, so you know accuracy before and after every change.
Predictive ML models
Demand forecasting, churn prediction, recommendation engines, and classification models, built on your historical data with explainable outputs.
02Stack
Tools we reach for.
PythonOpenAI APIAnthropic ClaudeLangChainLlamaIndexpgvectorPineconeHuggingFaceFastAPIMLflow
03Built for
Who this is for.
- 01
Companies with proprietary data who want AI that understands their domain
- 02
Teams spending hours on manual review, classification, or data extraction
- 03
Support, knowledge, and operations teams looking to scale without headcount
04FAQ
Questions, answered.
It depends on the use case. For RAG and retrieval, even a few hundred documents are enough to start. For predictive ML, we typically need 6-12 months of historical data with at least 500-1000 labelled examples. We run a data audit at the start of every engagement to assess what you have.
Prompt caching, model routing (using smaller models where they're sufficient), token budgeting, and comprehensive offline evals before every prompt change. We track cost-per-query and set alerts, you never get a surprise bill.
Explore our other services.
AI-Powered Process Automation →
Automate the manual, repetitive work slowing your team down, with AI that handles exceptions, not just rules.
Cloud & DevOps →
Reliable infrastructure, fast deployments, and clear costs, so your team ships confidently.
SaaS Product Development →
From idea to paying customers, multi-tenant SaaS with auth, billing, and everything in between.
Let's talk
Ready to build?
Tell us what you're working on. We'll show you what we'd build, and how fast.
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