[ About DehazeLabs ]

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.

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

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.

→ United States

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.

→ South Asia (Hyderabad · Bengaluru)

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.

→ Capabilities at a glance

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.

// stack
data warehouses  redshift · snowflake · bigquery
streaming  kafka · snowstreams · cdc
orchestration  airflow · dbt · nifi · airbyte
storage  s3 · data_lake · vector_db
ai_platforms  langchain · langgraph · bedrock · sagemaker
cv_ml  production_inference · sensor_fusion · drift_monitoring
retrieval  rag · vector_search · semantic_retrieval
cloud  aws · gcp · azure
anthropicPartner Network applicant · Building Claude-first practice across Data Center & Infra AI, Edge & Perception AI, and Multimodal AI Platforms
awsAWS Partner Network member · Production deployments on Bedrock, SageMaker, S3, Redshift
google_cloudGCP deployments where customer cloud environment requires
geographic_partnersDirect 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.