Technology, done well, should leave you better than it found you

Blesis Solutions is a Bengaluru-based technology company, founded in 2026. Our name comes from “blessing”: technology, done well, should leave clients, users and teams better than it found them.

2026Founded in Bengaluru, India
59+Years of founding team’s experience
01 — About us

The discipline of a large firm, at the pace of a growing business

Our founding team brings 59+ years of experience in software, data and AI.

We help small and mid-sized businesses build, modernise and run their software, and put data and AI to work, with the engineering discipline of a large firm, at a size and pace that suits a growing business.

We also build our own products, SPAN and an AI learning platform. Both are in development.

Senior-led delivery

Our founding team sets the architecture and reviews the work.

Right-sized teams

We match team size and skills to each project’s scope and timeline.

Built to hand over

Documentation and knowledge transfer are deliverables, not extras.

4Service lines, led by Data & AI
10Members in the core engineering team
4Senior specialists guiding architecture and review
9Industries we build for
02 — Team structure

A growing core team, guided by a senior bench

Seniors set architecture and review; the core team builds.

Managing DirectorData & AI and software development
Senior bench
Solution ArchitectPlatform and solution designIndependent specialist
Full-Stack & .NETSenior EngineerIndependent
Data & AISenior EngineerIndependent
Mobile & CloudSenior EngineerIndependent
Core engineering team · 10 members

Web, mobile, game, .NET, MEAN/MERN, Python, Azure, data engineering and AI.

03 — Skills & domains

One team across apps, platforms, cloud and AI

The same people who design your data platform can ship the app that uses it.

Application engineering

Website Development
Mobile App Development
Game Development

Platforms & cloud

.NET Development
MEAN Stack
MERN Stack
Python Development
Azure Cloud

Data & AI

Data Engineering
Machine Learning
Computer Vision
Generative AI
Agentic AI
04 — How we deliver

Five steps, named owners, written exit criteria

01

Discover

Goals, constraints, users and success measures agreed in writing.

02

Architect

Solution design and decision records reviewed by our senior architect.

03

Build in sprints

Short sprints, demos you can inspect, code review on every merge.

04

Release with gates

Automated tests and CI/CD gates before anything reaches production.

05

Support & improve

Monitoring, fixes and handover documentation your team can run with.