Qualigent
AI-native product studio

We don’t write code. We write briefs. Our AI agents plan, build, review, test and ship — every line of every product, under quality gates we set.

Live · agentic delivery loopargonaut · v0.4
BRIEF
PLAN
CODE
REVIEW
TEST
SHIP
now: Manager · decomposing requirements
AI-native by design
Quality. Agentic.
100% written by AI
100% reviewed by AI
100% tested by AI
MacroAtlas — Live
GitReady — Live
MySkul — In build
Argonaut — Internal
Bengaluru → Built for the world
D2C apps · AI consultation · Agentic systems
No demos. Real software.

What we stand for

The bar. The method. The output.

Three words written into the way we work — and into the products we ship.

Quality

Every product ships under quality gates we built ourselves. Real software, in production, under load — not demos.

99.99%uptime target

AI-Built

100% of our code is written, reviewed and tested by AI agents. We instruct, they ship — to a quality bar humans set, then enforce on themselves.

100%written · reviewed · tested by AI

Agentic

Autonomous systems that do real work. From consumer copilots that close the loop to engineering crews that ship code end-to-end.

8specialised agents in Argonaut

Selected work

Products we ship, under our own roof.

We don't do client decks. We build software people actually use — then we apply the same craft for partners who want to ship the same way.

D2C · FinTech01 / 04

MacroAtlas

Macro intelligence built for real investors.

AI translates inflation, rates, liquidity and geopolitics into actionable signals — so you can stop guessing what the market is telling you.

Stack
Next.js · Tailwind · v0
Audience
Active investors
Region
Global
LiveVisit macroatlas
Macro Regime · 09:42 ISTRisk-On
S&P 500
5,847
+0.42%
VIX
13.2
−1.1
Gold
2,684
+0.6%
Recession risk18%
Inflation rebound32%
D2C · DevTools02 / 04

GitReady

The AI job-landing system for engineers.

Profile audits, Socratic tutoring and live mock interviews — a closed loop that diagnoses readiness gaps and closes them with evidence.

Stack
React · Go · pgvector
Audience
FAANG-bound engineers
Cohort
v1.15.2
LiveVisit gitready
Live mock · System design
interviewer> Walk me through how your hashmap approach degrades when keys collide adversarially. Where would you swap to a different structure?
Hire-Me Score72 / 100
DSA
84
HLD
68
Behavioural
76
D2C · EdTech03 / 04

MySkul

A student intelligence platform for schools.

Operations data — attendance, assignments, fees — turned into actionable signals for parents, teachers and administrators.

Stack
React · Go · Python ML
Audience
K-12 schools
Phase
Pilot onboarding
Coming soonVisit myskul
Class 7-B · Today32 / 34 present
PAarav S.
present
ADiya K.
absent
PRohan M.
present
LSaanvi P.
late
PVihaan R.
present
Risk score2 students flagged ↗
Enterprise · Internal04 / 04

Argonaut

An AI-native engineering crew, as a service.

Eight specialised agents — Manager, Staff, Backend, Frontend, Design, DevOps, Security, QA — that plan, build, review and deliver autonomously.

Stack
FastAPI · Next.js · Claude
Pipeline
7-phase governance
Audit
Server-side proof gates
InternalInternal — see Approach
Argonaut Crew · Phase 4 / 7implementing
Mgr
Staff
BE
FE
Design
DevOps
Sec
QA
▸ migration 0042 drafted by Backend
▸ schema reviewed by Staff
▸ tests evidence required (gate)
▸ Security: deferred until QA passes

How we build

A small team. A high bar. Few abstractions between idea and ship.

  1. 01
    Discover
  2. 02
    Design
  3. 03
    Build
  4. 04
    Ship
Phase 01 · Discover

We start with the work, not the deck.

Two weeks embedded with your team. We map the actual workflow, the real constraints, and the systems your AI will live inside — before a single model is invoked.

EmbeddedWorkflow mappingSystems audit
Phase 02 · Design

Models, agents and interfaces — drawn together.

Product, design and ML sit in the same room. We prototype the experience and the underlying agent graph in parallel so the surface and the substrate evolve as one.

PrototypeAgent graphEval set
Phase 03 · Build

Quality gates that the agent has to pass.

Server-side proof of work. Automated evals on every PR. Real load tests. We measure what we ship before our users do, and we show you the trace.

EvalsLoad testsProof gates
Phase 04 · Ship

From staging to production, with the lights on.

Weekly demo cadence. Observability from day one. We don’t hand you a black box — we hand you a system you can read, debug and extend without us.

DemosObservabilityHandover

By the numbers

Honest, specific, today — not aspirational marketing math.

0
Products live
MacroAtlas · GitReady
0
In build
MySkul · Argonaut
0
City
Bengaluru, Karnataka
0
Outside hires
Senior team only

About the studio

An AI-native product studio, run by AI agents.

Qualigent Technologies is a small team building AI-native software. Every line of every product we ship is written, reviewed and tested by AI agents — to a quality bar we set, and that the agents enforce on themselves.

We ship our own products under our own roof, and we partner with ambitious teams who want to engineer the AI systems they can't build alone. Our consumer products serve investors, engineers and schools. Our enterprise practice helps organisations re-engineer their internal workflows to be agentic from the ground up.

We are deliberately senior, deliberately small, and deliberately in production. We measure ourselves on what we put live — not on slides we put in front of a room.

Founded
2026
Based in
India
Discipline
Product · ML · Design
Time zone
GMT+5:30

Contact

Tell us what you're building.

For new product engagements, AI consultation enquiries, or just to say hello — we read every message and respond within two business days.

admin@qualigent.tech
Bengaluru, Karnataka, India

Or email us directly at admin@qualigent.tech