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The Readiness Assessment

A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.

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Case study
Tier-1 bank cuts reconciliation 92%

Agentic reconciliation across 14 source systems — six-week pilot, full rollout in one quarter.

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New
Private AI on dedicated GPUs

Frontier-class models on isolated infrastructure — your data never leaves the perimeter.

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Latest
Field notes: agentic eval at production scale

How we ship and operate eval harnesses for systems running ten-million-plus actions a month.

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Founder
Rohit Wakode — Founder & Director

B.Tech IIT Bombay · LLB GLC Mumbai. Building intelligent enterprise systems in India since 2014.

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Solution · 07

Enterprise Software

Custom platforms, internal tools, customer portals — engineered to be extended by AI.

Next.jsDjangoPostgresMulti-tenant

Off-the-shelf software forces your process to fit the tool. Custom software fits the tool to your process — and, built right, becomes the surface AI plugs into later.

We engineer platforms with accessibility, internationalisation, and observability from line one, choosing event-sourcing where it earns its keep and plain CRUD where it doesn’t. No over-engineering, no under-building.

WhatCustom platforms, internal tools, and customer portals — built AI-ready.
Best forOperations that have outgrown spreadsheets and off-the-shelf tools.
RunsWeb, mobile, embedded; multi-tenant or sovereign.
Time to valueFirst release in weeks.
01 — Capabilities

What we build.

Specific, production-grade capability — not a feature checklist.

/ 01

Custom platforms

Internal tools, customer portals, and operational systems engineered to your workflow.

/ 02

AI-ready architecture

Clean data models and APIs so copilots and agents can plug in from day one.

/ 03

Multi-tenant or sovereign

SaaS-style multi-tenancy or fully isolated per-customer deployments.

/ 04

Standards baked in

Accessibility, i18n, and observability are defaults, not afterthoughts.

/ 05

Right-sized patterns

Event-sourced where it earns it; CRUD where it’s simpler. No cargo-culting.

/ 06

Senior engineering

Principal-level architects on the design; you meet them in week one.

02 — How it works

From your problem to production.

01

Understand the work

02

Build the core

03

Integrate

04

Harden & hand over

STEP 01

Understand the work

We map the real workflow and constraints, then design the data model and architecture around them.

STEP 02

Build the core

Iterative delivery of the platform with observability and tests from the first commit.

STEP 03

Integrate

Connect to your identity, data, and existing systems; expose clean APIs for future AI.

STEP 04

Harden & hand over

Scale, secure, document, and transfer ownership with runbooks and tests.

03 — Where it pays

Use cases.

Operational dashboardsCustomer / partner portalsInternal tools & adminWorkflow & approval systemsData-entry replacementLegacy modernisation
04 — Engineering

Stack & standards.

Frontend
Next.js / React
TypeScript
Accessible by default
Design system
Backend
Django / FastAPI
Node
Postgres
Event-sourced where apt
Platform
Multi-tenant
Observability
CI/CD
i18n
05 — Outcomes

What good looks like.

Fits
Your process
Software shaped to your work, not the reverse.
AI-ready
From day one
Clean models so AI plugs in later.
Owned
By your team
Documented, tested, transferred.
06 — Questions

Answers, before you ask.

Why custom over off-the-shelf?
When your process is a competitive advantage, bending it to fit a generic tool destroys that edge. Custom software fits your process — and becomes the surface AI extends later.
Will we be locked into you?
No. We build on mainstream stacks, document thoroughly, and transfer ownership with runbooks and tests. You can run and extend it without us.
Can AI be added later?
Yes — we design clean data models and APIs specifically so copilots and agents can plug in without a rebuild.
Ready when you are

Put Enterprise Software into production.

Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.

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