We partner with startups and product companies to turn strategy, product and applied AI into software built to run in production — not just demo.
Anyone can write code. We own the outcome — we scope the right thing to build, build it to last, and stay to make it run.
The difference between a vendor and a build partner. The systems we build run in production every day — in fintech, healthcare, insurance and beyond.
We meet your product where it is.
Idea to a product that ships.Product and technical discovery, MVP to launch, applied AI from day one — a real product, not a prototype that stalls at the demo.
Grow without breaking.Architecture, performance, cloud and DevOps — so the product grows under real load: traffic, data and team at once.
Systems too critical to touch.Legacy modernization, re-architecture, migration and integration — renewed without the risk of a rip-and-replace rewrite.
We don't advise on AI. We ship it.
Generative AI, agents and automation — woven into products that run in production, not slideware.
LLMs, retrieval and autonomous agents wired into your real data and workflows.
Parse, extract, verify and audit any format — records, claims, invoices, contracts.
Voice and messaging agents that resolve, in your brand's voice, across every channel.
Production-grade AI on AWS, Azure and GCP — governed and observable.
See the work, running.
Live, interactive previews of systems we've built. Simulated here — wired to real endpoints in production.
A complete fundraising CRM we built end to end: leads to opportunities to accounts and contacts, role-based access, a Stripe-backed wallet, a drag-drop donation-page builder, and AI calling powered by TYVRA.
Simulated — a product tour; tap to start.
The relationship spine underneath it all — a lead becomes an opportunity, an account and a contact, scored, converted and assigned, without anyone re-keying a thing.
Simulated — tap the panel to replay.
An AI-driven collections desk: it profiles every account, prioritises by risk, assigns the right recovery strategy, and auto-dials the top account through TYVRA.
Simulated — tap the panel to replay.
The front of the revenue cycle. Point it at a file and it knows what's required — verifying every mandatory document is present and valid, flagging what's missing or deficient before intake moves forward.
Simulated — tap the panel to replay.
The back of the revenue cycle. Generative AI reads a claim line by line, catching duplicates, unbundling and rates that break scheme rules — before a bill is ever submitted.
Simulated — tap the panel to replay.
One conversation, every channel. TYVRA carries a customer seamlessly across voice, WhatsApp and email — while an AI Coach reads sentiment, checks compliance and prompts the next best action in real time.
Simulated — tap the panel to replay.
Every one of these is a system we've shipped. More prototypes land here as we open them up.
Depth where the rules are hard.
We build in regulated, high-stakes domains where correctness, security and reliability are not optional.
Payment platforms, donor and customer collection, and reconciliation engines that have to balance every time.
Loan origination, servicing, and collections and recovery workflows built for scale and compliance.
Claims processing, TPA platforms, and reconciliation with insurers — accurate under pressure.
Hospital management, patient data, e-prescription and claims systems — private and dependable.
Custom CRMs, management systems and operations suites shaped to how your business actually runs.
Applied AI, agents, automation and conversation intelligence — woven into the product, not bolted on.
Systems that run in production.
Described by domain — the names stay with our partners. Every one of these runs in production today.
Billing teams moved from reading records by hand to reviewing AI-drafted claims — faster submissions, fewer rejections.
A healthcare revenue-cycle team was manually reading discharge summaries and converting them into scheme-compliant government bills — slow, error-prone and impossible to scale at volume.
A generative-AI billing module that parses discharge summaries, auto-drafts scheme-compliant bills and automates claim submission to government schemes and TPAs, with a human review step.
The team shifted from transcription to review-and-approve. Claims go out faster and cleaner, and the operation scales with volume instead of headcount.
Fragmented spreadsheet operations became a single, auditable, AI-driven collections workflow.
A lender ran collections across disconnected spreadsheets and point tools, with no consistent way to prioritise accounts or drive outreach across a large portfolio.
An AI/ML collections platform — portfolio auto-assignment, borrower profiling, an integrated CRM and a strategy engine, with call automation wired directly into the workflow.
Every account now carries from assignment through recovery in one auditable system the team trusts — consistent strategy, less leakage, full visibility.
Many siloed systems became one real-time operational picture for decision-makers.
A state-level emergency-services operation ran on a sprawl of disconnected systems, with no single real-time view for the people making time-critical decisions.
An integration layer tying together GIS, bidirectional data batches and an executive dashboard — unifying previously isolated systems into one operational view.
Leaders get a live, end-to-end picture across systems that never used to talk to each other — faster, better-informed response.
A seamless employee-purchase experience, wired cleanly across CRM, order management and fulfilment.
A global apparel retailer needed a smooth employee-discount commerce experience that stayed in sync with its enterprise CRM, order-management and shipping systems.
A two-way Salesforce Commerce and CRM integration connected through enterprise middleware to order management and fulfilment — one coherent flow end to end.
Employees get a seamless storefront; orders move cleanly across CRM, OMS and shipping with no manual reconciliation in between.
A secure, multi-tenant platform that stands up a new fundraising agency in minutes, not weeks.
A fundraising SaaS needed to spin up secure, compliant campaigns quickly for many agencies, each with its own payments and third-party integrations.
A microservices platform with integrated payment processing, role-based access control and API-led connectivity to third-party services — multi-tenant by design.
New agencies go live quickly with secure payments and clean integrations, on infrastructure built to add the next tenant without a rebuild.
Our own product — proof that when we say we ship production AI, we mean product, not slideware.
Contact centers still lean on rigid phone trees and offshore scripts — slow to change and nothing like the brand behind them.
TYVRA, built inside GrayOpus Labs: an AI-native contact center that handles voice and messaging in a brand's own voice, replacing the static IVR entirely, on a real-time pipeline.
It runs in live use today — a product we own and operate, and the clearest evidence of how we apply AI for the partners we build with.
Discover, engineer, amplify, operate.
Scope the right thing to build — product, technical and commercial reality, together.
Build it to last — production-grade software, engineered for the domain it lives in.
Sharpen it with applied AI and scale it where the leverage actually is.
Stay to make it run — the difference between a vendor and a build partner.
One team, three ways in.
End-to-end ownership — we scope, build and run the product with you, and answer for the outcome.
A senior pod embedded in your roadmap, moving at your pace and to your priorities.
Discovery, architecture and fractional-CTO guidance — senior judgement when you don't need more headcount.
Senior people who own the outcome.
Engineers, solution architects and fractional CTOs who have built and scaled real products — including at global banks and venture-backed companies.
We help you decide what to build and why — then we build it, and stay to run it in production.
Everything we build is yours. No lock-in, no black boxes, no dependency by design.
Real experience where correctness and compliance matter — fintech, healthcare, insurance and beyond.
Founded and led by Gaurav Paliwal — previously Morgan Stanley and SapientNitro — GrayOpus fields a senior team across the United States, Singapore, India and Canada.
GrayOpus Labs builds our own products in-house. TYVRA, an AI-native contact center, runs in live use — proof that we ship production AI, not slideware.