PrimeStack.

AI Agents & Development

Agents, RAG, Vision, Audio & More

Custom AI solutions that drive real business value. From RAG pipelines to autonomous agents, we integrate cutting-edge models into your workflows.

Project Snapshot

Typical Timeline
6–10 weeks
Deliverables
Production AI system, eval suite, API docs, deployment runbooks, monitoring setup
Ideal For
Product teams, ops-heavy businesses, enterprises automating repetitive workflows

Our Approach

We move beyond basic chatbots to build sophisticated AI systems that genuinely change how your business operates. Our process begins with a scoping discovery — mapping your existing workflows, identifying the highest-leverage automation opportunities, and validating feasibility before a single model is trained. Most clients find 60–80% time savings in manual, repetitive processes once the right AI layer is in place. Whether it's a fine-tuned LLM for customer support, a computer vision pipeline for automated quality control, or a multi-agent workflow orchestrating complex back-office decisions, we engineer AI that ships to production and performs reliably in the real world. We maintain rigorous evaluation frameworks — automated test suites, red-teaming sessions, and benchmark tracking — so you always know exactly how the system behaves before it touches your users or your data.

Beyond standard integration, we help deploy next-generation agentic systems such as OpenClaw, NemoClaw, Manus, and Perplexity Computer as intelligent operating layers for businesses. Our team tailors them to the business's workflows, and business objectives, equiping them with the business's knowledge base and skills required for high-value execution. Every deployment is rigorously tested and hardened to ensure security, reliability, and strict alignment with your organization’s ethical standards, compliance requirements, and operational guardrails.

LLM Apps

Ship AI-powered features fast — chat interfaces, copilots, structured data extraction, and tool integrations built on the latest foundation models and wired into your existing product.

LLM Fine-tuning & Optimization

Adapt a general-purpose model to your specific domain, vocabulary, and data — getting more accurate, on-brand results than prompt engineering alone, often at lower inference cost.

LLM Evals & Guardrails

Know exactly how your AI behaves before it reaches users: automated test suites, output safety checks, and production monitoring to catch regressions and edge cases over time.

Agentic Systems

Build AI that can take sequences of actions, call external tools, and complete multi-step tasks autonomously — with clear controls for when and how humans need to step in.

Computer Vision

Give your systems the ability to see: identify objects, read text, inspect products for defects, or analyse video streams in real time — deployable on cloud or edge hardware.

RAG & Knowledge Systems

Connect AI to your own documents, data, and knowledge bases so it always answers from the right source — accurately, with context, and without making things up.

Speech AI

Build systems that understand and speak: real-time transcription, AI voice assistants, call analysis, and multi-speaker conversation processing for voice-first workflows.