Our Services
Validate your Agentic AI idea before you commit to a full build. We scope a focused prototype, build and run it against your real data, and deliver clear findings so you can make an informed decision.
Learn MoreGet your architecture right before a single line of code is written. We run collaborative workshops with your team to define agent roles, data flows, and integration boundaries, and deliver a clear architecture document your engineers can build from.
Learn MoreWe design, architect, build, ship, and maintain your Agentic AI application end to end. You focus on the outcomes, we stay accountable for the full lifecycle including deployment, monitoring, and ongoing updates.
Learn MoreGet full visibility into your agent workflows. We instrument your existing systems, set up tracing, run evaluations, and perform synthetic checks so issues are caught before they reach your users.
Learn MoreDeepProto
Most Agentic AI projects fail early because teams over-invest before they know if the idea works. DeepProto is a scoped engagement where we build a working prototype alongside your team in days, not months, validating the core idea against real data before any larger commitment is made.
DeepFabric
Good architecture decisions made early save weeks of rework later. DeepFabric is a structured design engagement where we work with your team to map agent roles, data flows, and integration boundaries before a single line of code is written.
DeepServe
Building an Agentic AI app is one thing. Running it reliably is another. DeepServe is an end-to-end delivery engagement where DeepLens designs, architects, builds, ships, and maintains your Agentic AI application so your team stays focused on outcomes, not operations.
DeepWatch
When an agent does something unexpected, you need to know what happened and fast. DeepWatch is an observability engagement where DeepLens instruments your existing agent workflows, surfaces what is happening across every run, and helps your team act on it. This includes ongoing evaluations of agent output quality and synthetic checks that continuously validate your workflows without waiting for real user traffic.
About Us
DeepLens was founded to help organisations move from Agentic AI curiosity to Agentic AI capability. We are a small, focused team of engineers and architects who have spent decades building complex software systems, and we bring that experience directly to every engagement.
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Manpreet is a Software, Platform, and Solution Architect with over 20 years of experience in software development and architecture. A graduate of BITS Pilani, he is an AWS Certified Machine Learning Engineer and co-inventor on two patents in extensibility platforms and meta models. He has held architect roles at companies including Atlassian, AppDynamics, Citrix, Computer Associates, and Quark, and leadership positions at SourceFuse Technologies. He brings deep technical rigour and a collaborative approach to every client engagement.
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