VegradeAI engineering
About Vegrade

An AI product company that also ships for clients

We build our own AI products — TalentAI and Kodexaa — and take select client engagements to fund and sharpen the work. India-based, principal-led, production-grade.

In one minute

  • We are an India-based AI product company and engineering firm — building our own products and taking select client engagements.
  • Our products: TalentAI (AI job co-pilot for students) and Kodexaa (agentic AI platform for college coding practice and placement prep).
  • Client programs cover data engineering, classical ML, RAG, agents, LLM integration, and full-stack AI — fixed scope, principal-led.
  • Delivery is senior-led: written milestones, weekly demos, and clean handoff. References shared under NDA when there is mutual fit.

Who we are

Built by engineers who've shipped production AI

Founder & Principal Engineer

Hyderabad, India

Built and shipped production AI systems across legal tech, e-commerce, and enterprise — from data pipelines through to deployed LLM products. Vegrade exists because most teams need production-ready AI faster than any hiring cycle can deliver.

  • Production AI/ML systems across multiple verticals
  • Data engineering, ML, and full-stack AI background
  • Works directly with founders and CTOs — no account manager layers

How we deliver

Six phases, kickoff to handoff

Written assumptions, visible progress, and artifacts your security and finance teams can review at every milestone.

1

Week 1

Discovery call

Align on outcomes, constraints, and success metrics.

2

Weeks 1–2

Technical scope

Architecture options, risk list, and fixed proposal.

3

Week 2

Architecture design

Data flows, model strategy, security, and delivery milestones.

4

Weeks 3–8

Build & test

Incremental releases, evals, and stakeholder reviews.

5

Weeks 8–12

Deployment

Production hardening, observability, and runbooks.

6

Ongoing

Handoff & support

Documentation, training, and optional retainers.

Every program

Baseline commitments on every engagement

Specific deliverables are listed in your SOW — these are non-negotiables regardless of scope or tier.

Written scope

Assumptions, milestones, and acceptance criteria are explicit before build—not implied in Slack threads.

Security-aware delivery

Data handling, retention, and vendor-questionnaire-friendly artifacts are part of planning, not a late surprise.

You own the code

Repositories, infra definitions, and documentation transfer to your org unless otherwise agreed in the SOW.

Remote-first collaboration

Weekly demos, shared channels, and overlap windows for US, EU, and APAC stakeholders.

Industries

Where we have the most repeat patterns

Legal tech·Harvey-style workflowsReal estate·Lead agents & assistantsCustomer support·Omnichannel agentsSaaS platforms·In-product AIHealthcare·Compliant pipelinesLogistics·Document automationFintech·Risk & ops copilots

FAQ

Common questions

Still deciding fit? These cover how we present ourselves and how engagements start.

Ready to scope a program?

Share your outcomes and we'll scope it

Tell us your timeline and constraints. We respond within one business day with a written scope shape — before you commit to anything.