Built for AI
in the real world.
DehazeLabs is an AI implementation firm focused on the physical economy. We build the data engineering, perception, and reasoning layers behind data centers, telecommunications networks, smart cities, and industrial operations. We ship production systems, not strategy decks.
How we work
We embed engineers directly into customer teams. Implementations are designed to evolve as the underlying models do — built to last beyond the launch, with ongoing platform operation and SLA support. Our delivery model combines US-based partnership leadership with an engineering bench across South Asia, which lets us serve mid-market and enterprise customers at price points that tier-one global SIs can't economically match. For a detailed walkthrough of the engagement process from first call to handoff, see how our engagements work.
We don't take engagements where we can't be the right team. We're sharper at some things than others, and we'd rather be straight about that upfront than overpromise and underdeliver.
Where we're sharpest
- Data engineering at production scale. Real-time pipelines, telemetry ingestion, multi-modal data infrastructure. The unsexy substrate that determines whether AI projects survive year two.
- Edge and perception ML. Computer vision, sensor fusion, real-time inference for physical-world systems. Production deployments at smart-city and fleet scale.
- Multimodal AI platforms. End-to-end platforms across video, audio, and documents. RAG, vector search, agentic workflows on LangChain and LangGraph.
- Agentic operations. Reasoning layers on Claude that turn telemetry, perception, and operational data into autonomous decisions with appropriate human escalation.
- South Asia delivery and origination. Direct relationships in Indian manufacturing, the emerging Indian space sector, and the global capability centers in Bengaluru and Hyderabad.
Where we're not the right team
We don't do AI strategy advisory without an implementation tied to it. We don't ship pure consulting decks. We don't take engagements where the customer hasn't decided to actually build something. If you need a strategy retainer or an AI maturity assessment, there are better firms for that — and we're happy to recommend a few.
Partnership leadership.
US-based leadership for partnership programs (Anthropic, AWS, GCP), enterprise sales, customer-facing accountability, and program management. The team that takes the call when something goes wrong, regardless of where the work was done.
Engineering & delivery bench.
Senior engineering and delivery talent based in Hyderabad and Bengaluru. Direct relationships across the Indian manufacturing ecosystem, the emerging Indian space sector, and the global capability centers operating data center and infrastructure functions for US-headquartered Fortune 500s.
Real systems. Real stack.
A practical summary of what's deployed across our engagements. Not aspirational. We've shipped these in production for real customers.
| anthropic | Anthropic Claude Partner Network · Claude is our default for agentic operations, long-context document processing, and tool-use workloads. 10+ team members hold Claude Certified Architect: Foundations (CCAF) certifications. Partnership Agreement signed June 2026. |
| aws | AWS Partner Network member · Production deployments on Bedrock, SageMaker, S3, Redshift |
| google_cloud | GCP deployments where customer cloud environment requires |
| geographic_partners | Direct relationships across Indian manufacturing, space sector, & Bengaluru/Hyderabad GCCs |
Talk to the team that builds the thing.
Initial conversations are direct, free, and frank. We'll tell you whether we're the right fit, what we'd need to deliver if we are, and who we'd recommend instead if we aren't.