Hrum Tech

AI & ML Development

Production AI systems — not demos

We design and ship agentic AI systems, RAG pipelines, and custom ML models that run reliably in production — including HIPAA and GDPR-compliant deployments. From LangGraph multi-agent systems to computer vision and voice AI, we build AI that survives contact with real users.

RAG pipelines & knowledge-grounded chatbots
Multi-agent systems with LangGraph & CrewAI
Custom ML models: prediction, classification, vision
Voice AI: STT/TTS pipelines at sub-second latency

What You Get

  • Architecture for compliant, production-grade AI systems
  • RAG pipelines with vector databases (Qdrant, OpenSearch)
  • Multi-agent orchestration (LangGraph, LangChain, CrewAI)
  • Fine-tuned & prompt-engineered LLM integrations
  • Computer vision, STT/TTS, and predictive ML models

Tech Stack

LangGraphLangChainPyTorchQdrantGPT-4o / Claude / GeminiAWS/GCP GPU infra

Our Process

01

Use-Case & Data Audit

Assess feasibility, data readiness, and compliance requirements.

02

Prototype & Evaluate

Rapid prototyping with evaluation metrics before committing to architecture.

03

Production Build

Harden the pipeline: latency, cost, guardrails, observability.

04

Deploy & Monitor

Ship with monitoring, feedback loops, and continuous evaluation.

Frequently Asked

Can you build HIPAA or GDPR-compliant AI systems?

Yes — we've architected a HIPAA-compliant AI health assistant and a GDPR-compliant multimodal learning platform.

Do you offer on-premise or zero-egress deployments?

Yes, for IP-sensitive workloads we deploy on-premise GPU infrastructure with zero data egress.

Ready to start your ai/ml project?

Tell us your goals and timeline — we'll get back to you within one business day.