AI-Native Product Company  ·  Bengaluru

Enterprise AI, built as products.

Six products across hiring, commercial decisioning, data and reliability — four live in production today. And when the workflow doesn't fit a product, the same team builds yours.

See the six products Talk to an engineer
06
Products in the suite
04
Live in production
94%
Screening accuracy, live
Minutes
Quote cycle, not weeks

Reliability that fixes itself, inside your guardrails SRE Agentic AI — the SIDAIL loop

Describe the deal. It quotes itself. AMBIENT CPQ — agentic quoting, live at ambientcpq.com

Every candidate gets the same fair interview AIETA — live interview scoring, in production

The bottleneck, named before the quarter does EPA 2.0 — enterprise performance accelerator, in build

Live at aietafirst.com Live at ambientcpq.com TMF 620 · 638 · 645 native Human-in-the-loop by design Full audit trail, every decision Stack-agnostic integration Claude-accelerated SDLC Koramangala, Bengaluru
Our point of view

Most enterprise AI never reaches the P&L. It sits beside the workflow instead of running it.

The gap isn't model quality. It's shape. A copilot answers questions about a workflow. It never owns an outcome, so nothing moves on the number.

What moves the number is an agent that runs the workflow end to end — inside your rules, against your data, with a human on the final gate. That is harder to build, and it is the only thing we build.

We don't sell AI potential. We ship products that already run in production, with the audit trail to prove what they did — and we build them to make the people using them more capable, never less. Read our thesis
AMBIENT CPQ quoting and decision intelligence: deal optimisation, recommendations, validation and sales velocity resolved across one commercial layer.
Where the margin is actually decided Deal configured, priced and validated by agents — AMBIENT CPQ
94%

screening accuracy, in production

Every candidate scored on the same criteria, with the evidence attached.

AIETA — Rupadi platform dataB
↓72%

less time to reach a shortlist

The first round stops being the bottleneck it has always been.

AIETA — Rupadi platform dataB
~60%

of recruiter time handed back

Hours returned from L0 screening to the work that actually wins talent.

HireDesk — Rupadi platform dataB
4 / 6

products carrying live production traffic

Not pilots on a roadmap. Two more are in build with design-partner slots open.

Rupadi product status, todayB
The suite

Six products. Flip any card.

Each one owns a single high-value enterprise workflow end to end. Front of the card is what it is. Back is what it does, and the number that matters.

An AIETA interview in progress, with real-time competency scoring, skill-match gauges and behavioural analysis alongside the transcript. Live Talent AI

AIETA

Structured, evidence-driven interviewing — every candidate assessed the same way, every score defensible.

Talent acquisition AI

AI generates. AI evaluates. Humans decide.

  • Role-calibrated questions generated live — no static banks
  • 360° scoring: technical depth, communication, reasoning, role fit
  • Proctored assessment integrity with activity detection
  • Override at every gate, full audit trail retained
94%Screening accuracyB
Launch AIETA
AIETA scoring a live interview: skill-matching, behavioural insight and hiring-efficiency signals surfaced beside the conversation. Live L0 Screening

AIETA HireDesk

Upload resumes. AI screens, calls every qualifying candidate, and hands you a ranked shortlist.

L0 screening automation

The entire first round, hands-free.

  • Thousands of resumes parsed and scored against your criteria
  • Natural-language AI phone screen for every qualifier
  • Scored transcripts, ranked shortlist, evidence attached
  • Outreach, scheduling and follow-up run themselves
~60%Recruiter time reclaimedB
Launch HireDesk
AMBIENT CPQ quoting and decision intelligence: deal optimisation, recommendations, validation and sales velocity resolved across one commercial layer. Live Commercial AI

AMBIENT CPQ

Describe the deal in plain language. Agents return a compliant, priced, buildable quote.

Agentic CPQ for telecom

Four intelligence layers, one broker.

  • APM · ACM · ASM · ADE — pricing, contract, supplier, discovery
  • Catalogue-governed, TMF 620 · 638 · 645 native
  • Multi-site deals priced in real time, not from a stale card
  • Every outcome explained: why this price, supplier, term
MinutesNot weeks · pilot deployments open
Launch AMBIENT CPQ
AIMA 2.0 Migrator moving records between SQL and NoSQL stores with live validation checks and reconciliation gauges. Live Data Migration

AIMA 2.0 Migrator

NoSQL and SQL, moved either direction — with proof that every record landed correctly.

Data migration AI

Nothing moves until the gate passes.

  • Schema inferred from source, mappings proposed, ambiguity flagged
  • Row-level validation with checksum and statistical reconciliation
  • Change data capture for zero-downtime phased cutover
  • Point-in-time rollback and full source-to-target lineage
ZeroData loss, by design
Explore AIMA 2.0
EPA 2.0 Enterprise Performance Accelerator: process flow, root-cause indicators, optimisation recommendations and a predictive performance forecast. In build Performance AI

EPA 2.0

Enterprise performance as a live model — degradation surfaced with root cause, weeks before a review would catch it.

Enterprise performance AI

Observe. Detect. Infer.

  • Continuous model of KPIs, process metrics and workflow telemetry
  • Anomaly detection across operational dimensions in parallel
  • Root cause named, impact quantified, actions prioritised
  • Optimisations calibrated to your operation, not generic practice
3Layer intelligence loop · early access open
Explore EPA 2.0
SRE Agentic AI: a distributed services map, the SIDAIL reliability loop around an autonomous remediation centre, anomaly detection and policy guardrails. In build Reliability AI

SRE Agentic AI

Reliability that diagnoses and acts on itself — inside guardrails you set, escalating with full context.

Autonomous reliability AI

The SIDAIL loop.

  • Senses and identifies degradation below the alert threshold
  • Diagnoses across logs, metrics, traces and deployment history
  • Acts inside policy: scale, reroute, restart — or escalate with context
  • Improves and learns; every incident becomes training data
6Phase loop · design partners wanted
Explore SRE Agentic AI
In production

Three workflows.
Three outcomes.

Hiring, commercial decisioning, and operations — the places where enterprise time and margin actually go.

AIETA scoring a live interview: skill-matching, behavioural insight and hiring-efficiency signals surfaced beside the conversation.
Talent acquisition

Hiring decided on evidence, not impressions.

AIETA generates the interview, scores the answers, and documents the reasoning. HireDesk clears the first round before a recruiter opens their inbox. The AI surfaces the evidence; your hiring manager still makes the call.

94%Screening accuracyB
↓72%Time to shortlistB
~60%Recruiter time backB
Bias mitigation Proctored integrity Full audit trail Human override
AIETA HireDesk
AMBIENT CPQ quoting and decision intelligence: deal optimisation, recommendations, validation and sales velocity resolved across one commercial layer.
Commercial decisioning

A telecom deal, quoted in minutes.

Access, CPE, SD-WAN overlay, cloud security — across suppliers, sites and SLAs. Legacy CPQ prices that serially from a frozen rate card. AMBIENT reasons over the whole solution at once, and the margin floor is enforced rather than remembered.

MinutesQuote cycle, not weeks
Every siteOne deal, priced together
At quote timeFloors enforced, not remembered
Catalogue-governed TMF-native Multi-site Auditable
The full case ambientcpq.com
SRE Agentic AI: a distributed services map, the SIDAIL reliability loop around an autonomous remediation centre, anomaly detection and policy guardrails.
Operations & reliability

Operations that watch themselves.

EPA 2.0 models enterprise performance and names the bottleneck before the quarter does. SRE Agentic AI runs the SIDAIL loop on your systems — sensing, diagnosing and remediating inside policy, escalating with context when the pattern is new.

3EPA layers: observe, detect, infer
6SIDAIL phases, continuously looping
0Actions outside your guardrails
Predictive detection AI root cause Policy guardrails Early access open
EPA 2.0 SRE Agentic AI
The AI shop

We build the way we sell it.

Every product in the suite is built against our own delivery model — AIDMM, the Agentic AI Delivery Maturity Model. It is how eight engineers ship a six-product enterprise portfolio, and why our estimates hold.

AIDMM, the Agentic AI Delivery Maturity Model: the reality gap in traditional SDLC, agentic AI assumptions versus reality, seven core principles, a five-level roadmap from initiation to autonomous enterprise, a ten-stage agentic delivery lifecycle, twelve capability domains and the outcomes they produce. View full size
From experimentation to production AIDMM — the Agentic AI Delivery Maturity Model, Rupadi International
01

Frame

We map the workflow and find where AI compresses time, cost or error — before writing anything.

02

Build

AI-assisted implementation against your stack and security perimeter. No rip-and-replace.

03

Review

Every change passes AI-assisted review plus a human gate. Governance and auditability built in.

04

Ship & compound

Live, measured, then extended to the adjacent workflow. The intelligence improves on your data.

Ways to start

Three doors in.

Take a product as it stands, shape one with us as a design partner, or hand us the workflow that no product covers. Same engineers behind all three.

Deploy a product

Take AIETA, HireDesk, AMBIENT CPQ or AIMA 2.0 into your environment and run it.

  • Configured to your roles, catalogue or schema
  • Integrated inside your existing stack and perimeter
  • Governance, audit and override controls from day one
Fastest route to a measured outcome

Pilot as a design partner

Shape AMBIENT CPQ, EPA 2.0 or SRE Agentic AI around your real operating problem.

  • Scoped pilot against a workflow you already measure
  • Direct line into the roadmap while it's still open
  • Early access pricing and priority engineering time
Open now — telecom, operations, SRE

Build what doesn't exist

Not every AI initiative fits a packaged product. We design and ship custom systems too.

  • Agentic systems, not chat wrappers
  • The same production rigor behind our own products
  • Built with you, handed over documented
Custom AI engineering
By the numbers

Where we actually are.

Stated plainly, with the source named. Four products carry live production traffic; two are in build with design-partner slots open.

6
Products in the suite

Hiring, screening, commercial, migration, performance, reliability.

4
Live in production

AIETA · HireDesk · AMBIENT CPQ · AIMA 2.0 Migrator.

94%
Screening accuracy

AIETA in production, with time-to-shortlist down 72%.B

10+
Years enterprise software

Eight-plus engineers, Koramangala, Bengaluru.

Basis of figures

  1. Hiring outcomes — measured across AIETA and AIETA HireDesk production deployments: 94% screening accuracy, 72% reduction in time-to-shortlist, and approximately 60% of recruiter time reclaimed from L0 screening. Results vary by role mix, volume and configuration.
  2. Product status — four products carry live production traffic today: AIETA, AIETA HireDesk, AMBIENT CPQ and AIMA 2.0 Migrator. EPA 2.0 and SRE Agentic AI are in active build, with design-partner slots open.
  3. Quote cycle — minutes rather than weeks describes AMBIENT CPQ resolving a multi-site deal end to end, against the serial, manually configured process it replaces.
  4. Zero data loss — a design guarantee, not a statistical average. AIMA 2.0 blocks cutover until row-level validation, checksum verification and reconciliation all pass.

Every figure on this page is our own — measured from Rupadi deployments, or describing the current state of our products. We publish no borrowed market statistics here. If a number matters to your decision, we will walk you through exactly how it was measured, deployment by deployment, on a call.

Bring us one workflow
that isn't working.

Thirty minutes, one workflow, and a straight answer on whether a Rupadi product moves it — or whether it needs building. No deck required.

Start the conversation Browse all products
rupadi@rupadi.com Koramangala, Bengaluru