AI engineering & software studio

AI that works.
Software that
moves business.

We design and build AI agents, custom platforms, and connected workflows for real business operations. Engineered end to end. Verified before it ships.

Direct founder involvement. From the first conversation to delivery.

THE VERIFICATION LAYERFIG. 01 / SYSTEM VIEW
Workflow traceILLUSTRATIVE
01

Intent received

Send pricing to a new lead
02

Policy validation

Consent required before delivery

Action verified

Verified lead · policy check passed

Intelligence moves things forward.
Verification keeps them on track.

02Systems delivered
and still running
AI + applications + integrations
One connected engineering discipline
Built to be trusted.
Designed to keep working.

Capabilities

Intelligence, integrated.
Operations, connected.

From a focused automation to the platform around it, we build software that fits the way your business needs to run.

01 / EXPERTISE

AI agents & conversations

Turn customer conversations into useful action, with the context and controls each workflow needs.

  • WhatsApp & voice agents
  • Knowledge retrieval & lead qualification
  • Context-aware human handoff
Explore the lead operations platform
02 / EXPERTISE

Business software & platforms

Bring the people, information, and decisions behind your operations into a coherent system.

  • Custom CRM & partner portals
  • Operational dashboards & analytics
  • Payments & identity integrations
Explore the platform architecture
03 / EXPERTISE

Workflow automation

Connect the steps between an idea and a finished result, with clear rules for what happens next.

  • AI content production pipelines
  • Multi-step process orchestration
  • Validation & exception handling
Explore the content production system

Selected work / 01—02

Real workflows.
Working systems.

Two delivered systems, both still running. A closer look at the operational problems and the software built to solve them.

VEYRN / SYSTEM 01WORKFLOW SCHEMATIC
Lead operationsSYSTEM VIEW
01

Conversation

02

Qualification

03

Human handoff

DEFINED WORKFLOWCONNECTED OPERATIONS ↗

Illustrative architecture · client data excluded

HOSPITALITY & REAL ESTATEDelivered

A connected engine for lead operations.

An AI-powered CRM connecting customer conversations, lead qualification, partner operations, and sales visibility.

THE CHALLENGE
A pre-launch business needed a qualification engine before inventory was ready to sell.
WHAT WE BUILT
WhatsApp and voice AI, a partner portal, custom analytics, and a direct purchase flow in one operational platform.
Conversational AICustom CRMPartner operations
Explore the implementation

Customer conversations

WhatsApp handles brochures, pricing, and common questions. A defined qualification flow keeps the conversation useful, with a human handoff when requested.

Connected operations

Voice follow-ups carry the same qualification context. The partner portal brings together identity verification, referrals, and commission tracking.

Business visibility

A custom dashboard covers lead sources, lead temperature, partner performance, and funnel conversion.

Technology used

WhatsApp Business API · Exotel · Sarvam AI · Claude · PostgreSQL · Redis · Razorpay · Setu/DigiLocker

VEYRN / SYSTEM 02WORKFLOW SCHEMATIC
Content productionSYSTEM VIEW
01

Production brief

02

AI workflow

03

Content output

DEFINED WORKFLOWCONNECTED OPERATIONS ↗

Illustrative architecture · client data excluded

CONTENT OPERATIONSDelivered

From disconnected prompts to a production workflow.

A dedicated AI content-production system built around a client's actual production requirements.

THE CHALLENGE
Content work depended on disconnected manual steps and ad-hoc prompting.
WHAT WE BUILT
A defined production workflow delivered as a dedicated system, with the first phase built around the client's requirements.
AI contentProcess designWorkflow automation
Explore the implementation

Purpose-built workflow

The implementation brings content work into a defined process instead of leaving it spread across individual prompts and manual steps.

Engagement scope

Phase 1 was built and delivered as a custom content-production system. Client-identifying materials and private implementation details are not published.

Client identities and private project materials are kept confidential.

The engineering standard

Quality is part of
the architecture.

A useful AI system needs more than a convincing response. Our approach connects intelligence to explicit rules, observable decisions, and the people responsible for the outcome.

AI proposesSystem validatesAction executes
01

Workflow-specific evaluation

Test against the tasks the system must complete and the failure cases it needs to handle.

02

Validation before action

Check the proposed action against explicit policy before it affects a customer or business record.

03

Human control & traceability

Make escalation paths clear and preserve the context needed to understand a decision.

Delivery approach

A clear path from
complexity to production.

Each stage has a purpose. Scope, acceptance criteria, and handover requirements are agreed around your project.

01

Understand

Map the workflow, its users, and the points where work gets stuck.

DELIVERABLEWorkflow map & scoped requirements
02

Build

Develop the application, integrations, and AI around the agreed process.

DELIVERABLEWorking system & connected integrations
03

Verify

Challenge assumptions, test failure paths, and fix what breaks.

DELIVERABLEEvaluation cases & validation checks
04

Deliver

Put the verified workflow into use, with the operating boundaries made clear.

DELIVERABLEProduction workflow & engineering handover

The studio

Work directly with
the person building it.

Satyabrata Mohanty Founder & engineer

Veyrn Labs brings product development and AI engineering together under direct founder ownership. Satyabrata has built and delivered the systems featured here, from the initial workflow to the application and integrations behind it.

BugLensAI code review product used by paying customers
30+ articlesTechnical writing on GeeksforGeeks
IIT MadrasStudying data science

Before we begin

Good questions.
Clear answers.

The practical details of working together.

01What kinds of projects are a good fit?

Projects where AI needs to work inside an actual business process: lead qualification, customer conversations, content production, CRM workflows, partner operations, and the custom software connecting them.

02Can you work with our existing tools?

Yes. We start by understanding the existing workflow and the integrations it needs. API access, data quality, and platform constraints are assessed before the implementation scope is agreed.

03How do you approach AI reliability?

The model proposes an action and the system validates it before execution. We use workflow-specific evaluation cases, explicit rules, and human handoff paths to define where automation can act and when it should stop.

04How are cost and timelines determined?

They depend on the workflow, integrations, data readiness, and acceptance criteria. We scope those together before committing to a delivery plan or price. A focused first phase can establish the right direction before a broader build.

05Who will I work with?

You work directly with Satyabrata Mohanty, the founder and engineer responsible for the systems featured here. That keeps technical decisions and project context close to the work.

06Can you share client work?

The public case studies describe the delivered systems without identifying clients or exposing private data. Any additional project material can only be shared with the relevant client's permission.

Get in touch

Let's talk about your project.

System work in progress

Our contact system is currently being updated. For now, contact us directly by sending an email.

hello@veyrnlabs.com