What We Do
Six Pillars of Delivery
Agentic AI Engineering
Design and build autonomous agent systems that reason, plan, and execute complex workflows.
- Multi-agent orchestration & fleet management
- Tool-use agents with API integration
- Agent guardrails, safety testing & observability
RAG & Knowledge Systems
Enterprise knowledge platforms with hybrid retrieval, multi-tenant isolation, and LLM-judge evaluation.
- Hybrid retrieval — vector + BM25 + re-ranking
- Multi-tenant knowledge hubs with RBAC
- Real-time knowledge sync & ingestion pipelines
Generative AI Applications
Production GenAI apps — from rapid prototypes to enterprise-scale products.
- Multi-model orchestration (GPT-4o, Claude, Gemini, Llama)
- Vision & multimodal AI pipelines
- Fine-tuning with LoRA / QLoRA on proprietary data
Cloud & AI Infrastructure
Cloud-agnostic architecture across AWS, Azure, and GCP — built for AI workloads from day one.
- AWS — SageMaker, Bedrock, Lambda, EKS
- Azure — OpenAI Service, Cognitive, AKS
- GCP — Vertex AI, Cloud Run, BigQuery
MLOps & LLMOps
Ship models to production and keep them there — experiment tracking, serving, monitoring, and cost control.
- Model serving — vLLM, Ray Serve, TorchServe
- Experiment tracking & model registry
- LLM observability — OpenTelemetry, tracing
Intelligent IT Ops
AIOps-driven infrastructure management, FinOps optimization, and automated incident response.
- AIOps — anomaly detection & auto-remediation
- Infrastructure as Code (Terraform, CDK)
- CloudWatch, Datadog, Grafana observability
Technology Stack
Tools We Ship With
Model-agnostic and cloud-flexible — every engagement uses the right tool for the job.
Cloud Platforms
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Foundation Models
Closed-Source
Open-Source
Serving
Agent & RAG Frameworks
Agent Orchestration
RAG & Indexing
Vector Stores
Data & MLOps
Data Engineering
ML Lifecycle
Observability
Our Approach
How We Deliver
Discover & Assess
We map your AI readiness, data landscape, and infrastructure. Define the problem worth solving and the fastest path to value.
Architect & Prototype
Design the agent architecture, select models and frameworks, build a working prototype — usually within 2–4 weeks.
Build & Harden
Production engineering with guardrails, observability, security, and load testing. Every system ships with monitoring baked in.
Deploy & Scale
Multi-cloud deployment, CI/CD pipelines, auto-scaling. We hand off with runbooks, documentation, and optional managed ops.
Get in Touch
Let's build your AI advantage.
Whether it's your first RAG pipeline, a multi-agent fleet, or a cloud migration — we'll architect it, build it, and ship it.