AI Product Development

Custom AI Product Development - From Concept to Production

We design, engineer, and deploy full-stack AI products for companies that need more than off-the-shelf solutions. Same team that built FlowFin, Janus, and Veritas - now building for you.

See What We Built
3 Products ShippedFull IP OwnershipCloud-NativePost-Launch Support

AI product development with real product judgment

We bring AI product judgment, not just engineering execution. We have built 3 production AI products ourselves - FlowFin, Janus, and Veritas - so we know what works and where AI adds real value. Our team handles the full stack from product strategy to post-launch support. Your cloud, your data, your code.

Product Experience

3 production AI products built in-house. We bring product judgment, not just engineering execution.

Full-Stack Capability

Frontend, backend, AI/ML pipelines, infrastructure, DevOps - one team handles everything. No coordination overhead.

AI-Native Architecture

We design products around AI capabilities from day one, not bolt AI onto existing architecture as an afterthought.

Ship Fast, Iterate Faster

MVP in 4-8 weeks. Weekly demos from week one. Production-ready architecture that scales with your users.

Ready to discuss your project? Book a call

End-to-end AI product development capabilities

Specific, concrete deliverables - not vague promises. Here is what you get.

AI Product Strategy and Scoping

Problem definition, market analysis, technical feasibility assessment, and MVP scope. We help you decide what to build first and why.

AI Architecture Design

Model selection, data pipeline design, infrastructure planning, and cost modeling. Architecture that works at your current scale and grows with you.

Full-Stack Engineering

Frontend (React/Next.js), backend (Node/Python), AI/ML pipelines, API layer, database design, and cloud infrastructure.

AI Model Development

Custom model training, fine-tuning, RAG systems, agent architectures, and prompt engineering for your specific use case.

UX/UI for AI Products

Designing interfaces that make AI capabilities intuitive and trustworthy. Confidence scores, explanations, human-in-the-loop flows.

Deployment and DevOps

CI/CD pipelines, monitoring, alerting, auto-scaling, and cost optimization. Production-ready from day one.

Post-Launch Support

Bug fixes, model retraining, feature iterations, performance optimization. We stay until the product is stable and your team can take over.

The numbers that matter

20+

Modules in FlowFin, our finance product

30+

AI tools built across our product portfolio

60+

Daily active users on Janus AI recruitment

12+

Content types generated by Veritas

Real deployments, real results

Finance Automation

FlowFin - AI-powered FinanceOS

20+ modules covering procurement, AP, AR, payments, GST compliance - built from zero to production

Staffing and Recruitment

Janus - AI recruitment platform

Deployed at India's largest staffing company with 60+ recruiters using it daily

Content and Marketing

Veritas - Knowledge-grounded content platform

Knowledge graph, 12+ content types, SEO intelligence, campaign management - full SaaS product

The Optivus Method

Every engagement follows four phases. You always know what is being delivered and what comes next.

01

Scope

Define the product vision, target users, and MVP scope. We challenge assumptions and identify where AI adds real value versus where simpler solutions work better.

02

Build

Agile sprints with weekly working demos. AI capabilities developed in parallel with the application layer. Continuous user feedback shapes the product.

03

Ship

Production deployment with monitoring, documentation, and team training. We do not hand over a codebase and disappear - we ensure the product works in the real world.

04

Scale

Post-launch optimization, feature iterations based on user data, and expansion of AI capabilities. Optional ongoing retainer for continuous development.

Learn more about The Optivus Method

Products we have built with this technology

We do not just consult - we build production AI products. The same engineering powers what we deliver for clients.

Industries we serve

Our AI expertise transfers across industries. The underlying technology applies regardless of domain.

Ready to discuss your project?

Book a 30-minute call. Tell us about your workflow and we will scope the right approach together.

Common questions about ai product development

Cost depends on the scope - number of AI capabilities, integrations, and whether you need an MVP or a full platform. We also offer ongoing development retainers for continuous iteration. Every project is scoped and priced upfront with no hourly billing surprises. Book a discovery call to discuss your requirements.
An MVP with core AI capabilities typically takes 4-8 weeks. A full product with multiple modules, integrations, and advanced AI features takes 3-6 months. We ship working demos every week from week one, so you see progress continuously.
Yes, completely. Every line of code, every model, every pipeline lives in your repository on your cloud. We transfer full IP ownership on delivery. No licensing fees, no ongoing royalties, no vendor lock-in.
Frontend: React/Next.js with TypeScript. Backend: Node.js or Python depending on AI requirements. AI: Anthropic Claude, OpenAI, open-source models as appropriate. Database: PostgreSQL with Prisma ORM. Cloud: AWS, GCP, or Azure. We adapt to your existing stack when possible.
Yes. We have taken over stalled AI projects and turned them into production systems. We start with a code and architecture audit, identify the gaps, and propose a recovery plan. Common scenarios: a POC that needs to be production-ready, a project that ran over budget with the previous vendor, or a product that needs AI capabilities added.
All data stays on your cloud infrastructure. We never transfer client data to our systems. We implement role-based access controls, encryption at rest and in transit, and audit logging. For regulated industries, we follow DPDPA, GDPR, and industry-specific compliance requirements.
A feature is an AI capability added to an existing application - like adding document extraction to your ERP. A product is a standalone application built around AI - like FlowFin or Janus. We build both. Features are faster and cheaper. Products require more investment but create more value and can become standalone business lines.
We build responsive web applications that work on all devices. For native mobile apps, we build the AI backend and APIs and can work with your mobile team or recommend partners for the native layer. Most enterprise AI products work best as web applications.

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Ready to build something that works?

Book a 30-minute discovery call. Bring your messiest workflow and we will show you exactly how we would approach it.

Book a Discovery Call See What We Have Built