Our Products
Engineering-first platforms, built in-house — our own IP.
DeepLens
Understand the Impact of Every Code Change
DeepLens analyzes your codebase, maps hidden dependencies, and predicts the impact of code changes before they reach production.
AI-powered change impact analysis for modern engineering teams.
The problem
Bugs caught in production cost roughly 10x more than bugs caught in development. Modern codebases carry thousands of implicit dependencies that are impossible to trace by hand — one change in a utility file can silently break distant, unrelated features.
The solution
DeepLens is a stateful analysis engine that maps your entire codebase architecture and predicts the blast radius of any change before it reaches production.
How it works
From source code parsing to AI-powered impact assessment in three automated steps.
Map
Scanner module parses your Python code via AST, extracting every import, function call, and class dependency into a Neo4j graph database.
Detect
Detector module tracks changes since the last scan (including uncommitted edits) via stateful Git integration.
Analyze
AI engine feeds the diff plus full graph context to an LLM (Groq, Gemini, or OpenAI) for a structured, semantic risk report.
Why DeepLens is different
- Context-aware AI — sees full graph, not just diff
- Stateful intelligence — catches uncommitted edits
- O(1) impact lookups via Neo4j
Roadmap
Multi-language support (Java, TypeScript, C++), AI-generated auto-fix recommendations, native CI/CD plugins (GitHub Actions, GitLab CI), and 3D graph visualization explorer.
Enterprise & privacy
Local LLM integration (Ollama, Llama 3 8B, Mistral 7B) in R&D — enabling on-premise analysis with zero cloud exposure for air-gapped/classified environments.
DeployMind
Deploy to the Cloud Without the DevOps Overhead
Automate infrastructure, CI/CD, and cloud deployment from a single workflow.
Deployment shouldn't require days of manual setup
Teams spend days writing infrastructure scripts, configuring servers, wiring CI/CD pipelines, and managing secrets by hand just to get one app online — usually requiring a dedicated DevOps engineer.
From GitHub repository to production-ready infrastructure
Connect your GitHub repo, pick your cloud provider, and DeployMind generates everything needed to deploy automatically — infrastructure, pipeline, and all. What used to take days now takes minutes.
Repository
Pipeline
Deployment
How it works
Automate your entire cloud infrastructure and deployment workflow in three simple steps.
Connect
Connect your GitHub repository.
Configure
Choose your cloud provider and deployment configuration.
Deploy
Deploy your application with infrastructure and CI/CD generated automatically.
Built for modern deployment
Automated Infrastructure
CI/CD Automation
Cloud Provider Integration
Secure Deployment Workflows
Want to see how our AI solutions fit your engineering workflow?
Talk to Our Team →Solutions & Products
Platforms built to power commerce, community, and connection.
NearByEstate
A geolocation-driven real estate marketplace that simplifies local property discovery.
Near2Me
A hyperlocal marketplace connecting producers directly with nearby consumers.
Cloud Kitchen Platform
An end-to-end digital system to manage ordering, operations, and delivery in one place.
DigiCoupon
A secure, QR-based digital coupon platform for high-volume mega events.
HR Roll App
A comprehensive HR management application to streamline your team operations.