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We build powerful software, AI solutions, digital products and technology platforms that help businesses grow.
Projects delivered
Clients served
Building software
Revenue
₹42.8L
+18%
Orders
1,284
+9%
Uptime
99.98%
30d
AI assistant: three products are below their reorder point and two invoices are overdue.
Trusted by teams across distribution, healthcare, retail and SaaS
Meridian Industrial Supplies
Industrial Distribution
Aurient Software
SaaS
Kanish Retail Group
Ecommerce
Sanjeevani Healthcare
Healthcare
Sattva Foods
Food & Beverage
Vertex Equipment Services
Industrial Services
Northline Logistics
Logistics
Lumeo Analytics
SaaS
Anvaya Retail
Retail
Crestpoint Financial
Financial Services
Zenith Manufacturing
Manufacturing
Trailhead Ventures
Investment
Meridian Industrial Supplies
Industrial Distribution
Aurient Software
SaaS
Kanish Retail Group
Ecommerce
Sanjeevani Healthcare
Healthcare
Sattva Foods
Food & Beverage
Vertex Equipment Services
Industrial Services
Northline Logistics
Logistics
Lumeo Analytics
SaaS
Anvaya Retail
Retail
Crestpoint Financial
Financial Services
Zenith Manufacturing
Manufacturing
Trailhead Ventures
Investment
From a first prototype to a platform running an entire operation, delivered by the same team that supports it afterwards.
Bespoke platforms engineered end to end, from discovery through architecture, delivery and long-term support.
Starting at
₹4.5 L
Progressive, accessible and search-friendly web applications built on modern frameworks and measured against Core Web Vitals.
Starting at
₹2.9 L
Android and iOS applications with offline support, push notifications and a release process your team can run.
Starting at
₹3.3 L
Forecasting, classification, recommendation and computer vision built against your data and measured against a baseline.
Starting at
₹4.8 L
Retrieval-augmented assistants, document processing and content generation built with guardrails and full traceability.
Starting at
₹3.9 L
Modular ERP covering finance, inventory, procurement, production, HR and compliance, built for Indian statutory requirements.
Starting at
₹7.8 L
Clients can evaluate the interface and the launch date. What determines what a system costs to own is everything underneath.
Source code, infrastructure definitions and documentation transfer to you at project close. No licence to renew, no dependency on us to keep running.
Core Web Vitals budgets and load targets are agreed up front and enforced in the build pipeline, not chased after launch.
Every AI engagement starts with a data assessment. If the data will not support the outcome, we tell you before the budget is committed.
The engineers who design your system are the ones who support it. No handover to a team that has never seen the code.
Layered architecture and real test coverage mean the second year of changes costs less than the first, not more.
We raise a scope or data problem in week four rather than week fourteen. It is a less comfortable conversation and a much cheaper one.
Every case study states what changed and by how much, including the parts that were harder than expected.
Meridian Industrial Supplies
A 240-person distributor replaced eleven spreadsheets and two disconnected systems with one ERP, and cut order-to-dispatch time by 89 percent.
Aurient Software
A B2B SaaS company grounded an AI assistant in its own documentation and cut first-line support volume by 61 percent without a drop in satisfaction.
Kanish Retail Group
A multi-vendor marketplace was rebuilt to survive its own campaigns, taking 22,000 concurrent users where the previous platform failed at 3,000.
Every phase produces something you can review. Nothing is invisible until a big reveal at the end.
Workshops to map processes, data and integrations. Output is a written scope and architecture you can hold us to.
Information architecture, interface design and a clickable prototype tested with real users before engineering starts.
Two-week increments against a live staging environment, with a working demo at the end of each one.
Functional, integration, performance and security testing, plus a user acceptance round with your team.
Production setup, data migration, monitoring and a supervised go-live rather than an unattended switch.
Warranty period, then an agreement covering monitoring, patching and a monthly allocation of improvements.
Collected after go-live, not during the sales conversation.
They pushed back on two things we asked for and were right about both. That is worth more than a vendor who simply agrees with everything.
Rajeev Menon
Chief Operating Officer, Meridian Industrial Supplies
The assistant they built says it does not know when it does not know. After our previous experience, that turned out to be the single most important design decision.
Priya Nair
VP Customer Experience, Aurient Software
We went into our biggest sale of the year expecting to hold our breath. Nothing happened. That was the entire point.
Anil Kanish
Managing Director, Kanish Retail Group
Migrating a hospital group is not a technology problem, it is a risk problem. They treated it that way from the first meeting.
Dr. Meera Iyer
Chief Medical Information Officer, Sanjeevani Healthcare
They found a flaw in our own data before writing any model. Another firm would have trained on it and delivered something that looked fine and quietly lost us money.
Deepa Raghavan
Head of Supply Chain, Sattva Foods
They spent a week in the field with our engineers before designing anything. The product is better for it in ways we could not have specified.
Suresh Pillai
Head of Field Operations, Vertex Equipment Services
Practical notes from real engagements, including the mistakes.
Most build-versus-buy decisions compare a licence quote against a development quote. That comparison is almost always wrong, because it leaves out the four costs that dominate years two through five.
Rakesh Thakur · 14 Sept 2026
The most valuable output of an AI feasibility study is often the recommendation not to proceed. Here is what we look for, and why finding it early saves considerably more than the study costs.
Vikram Sethi · 7 Sept 2026
Retries are not an edge case, they are the normal operating condition of any distributed system. Here is the design that keeps a duplicate request from becoming a duplicate charge.
Arjun Nair · 31 Aug 2026
If yours is not here, ask us directly and you will get a straight answer.
Describe the problem and we will come back with an architecture, a timeline and an honest view on whether it is worth building.