Kameleon
Services

AI Engineering

We design, build, and deploy production-grade AI systems. From LLMs and RAG pipelines to autonomous agent networks — engineered for scale.

Capabilities

LLM Integration & Fine-tuning

Custom model selection, prompt engineering, and fine-tuning for your domain. We optimize for accuracy, latency, and cost.

RAG Pipelines & Knowledge Systems

Retrieval-augmented generation systems that ground AI responses in your proprietary data with high precision.

Agentic AI & Multi-Agent Orchestration

Design and deploy autonomous agents that collaborate, reason, and execute complex multi-step workflows.

Computer Vision & Document Processing

Intelligent document extraction, image classification, and visual inspection systems for enterprise operations.

MLOps & Model Lifecycle

End-to-end ML infrastructure: training pipelines, model versioning, A/B testing, monitoring, and retraining loops.

Data Engineering & Feature Stores

Build robust data pipelines and feature stores that feed reliable, real-time data to your AI systems.

Tech Stack

The platforms, frameworks, and tools we work with every day

PythonTypeScriptAWSGoogle CloudPyTorchLangChainKubernetesDockerPostgreSQLRedis

How We Deliver

01

Architecture Design

We design the system architecture, select models and infrastructure, and define integration points with your existing stack.

02

Prototype & Validate

We build a working prototype, validate performance against your requirements, and iterate based on real-world testing.

03

Production Build

We engineer the production system with enterprise-grade reliability: CI/CD, monitoring, security, and automated testing.

04

Deploy & Monitor

We deploy to your infrastructure, set up observability, and provide ongoing optimization and support.

Let's engineer your AI solution

From prototype to production in weeks. Tell us what you're building.