AurvikAI · AI Development

Custom AI built to solve real business problems.

From idea to launch, we build reliable AI systems that work with your data, fit your business, and deliver measurable results.

We plan the solution, build the AI, connect it to your existing systems, and support it after launch. You get a production-ready system backed by 18 years of engineering experience and a 90-day optimisation period.

See our AI work
18 years

Of production engineering experience

600+ systems

Delivered, including 150+ AI systems

92%

Of projects launched within the agreed timeline

Clients we've worked with

Built with discipline. Measured by results.

We start with your business problem, not a fashionable AI tool. We agree on what success looks like, plan the right solution, test every assumption, and measure performance before launch. Every important decision is documented, so you always know what is being built and why.

We measure success through business results, not impressive technical scores. F1 scores do not pay the bills.

See how we work
4 weeks

Average time to a working prototype

92%

Of projects reach production within the agreed timeline

AI solutions built around your goals

Practical systems that help your business predict, understand, automate, and personalise.

Predictive analytics

We turn your historical data into useful predictions and deliver them inside the tools your team already uses, not in a separate dashboard they will forget to check.

PredictionForecastingMachine Learning
40%

average improvement in forecast accuracy

The right technology for your result

We choose tools based on performance, speed, cost, and reliability, not popularity.

We select the model that best fits your problem, budget, speed, and accuracy needs.

Language models

For understanding, creating, and transforming written information.

Vision models

For recognising, classifying, and inspecting images or video.

Prediction models

For fast and understandable decisions based on structured business information.

Combined models

Multiple models working together to improve consistency and reduce errors.

What we build with

Models

  • Anthropic Claude
  • GPT (OpenAI)
  • OpenAI Whisper

Application

  • Next.js
  • NestJS
  • FastAPI (Python)
  • TypeScript

Data

  • PostgreSQL
  • pgvector
  • Pinecone / Chroma
  • Redis

Move from AI experiments to everyday business value

Replace slow manual work and poorly fitting tools with AI built for the way your organisation operates.

Before AurvikAI

  • Teams wait days for manual analysis
  • Generic AI needs constant correction
  • Promising trials never reach daily use
  • AI sits outside existing workflows
  • Decisions are difficult to explain

After AurvikAI

  • Useful predictions appear in real time
  • AI learns from your data and business needs
  • Reliable systems launch with monitoring and support
  • AI works inside the tools your team already uses
  • Clear confidence scores and records build trust

Questions businesses ask before building AI

Straight answers from a team that has delivered 600+ production systems, including 150+ AI systems.

How long does a custom AI project take?

Most projects take 8 to 16 weeks from kickoff to launch. The exact timing depends on your data, goals, and the complexity of the solution. We agree on the timeline early and keep every milestone visible.

Do we need a large amount of data to begin?

Not always. Some projects need more data, while others need better-quality information. In many cases, we can adapt an existing model instead of building one from the beginning. We assess this first, so you do not spend time or money collecting data you do not need.

How do you keep the AI accurate and reliable?

We agree on acceptable performance before development begins and connect it to a clear business result. Automated checks test every change, while live monitoring alerts us if accuracy, speed, or cost starts moving in the wrong direction.

What happens after launch?

Every system includes a 90-day optimisation period. We improve it using real-world feedback, retrain it where useful, and give your team the guides and documentation needed to run it independently. Ongoing support is available if you want it.

Who owns the system?

You do. You receive the code, models, prompts, documentation, and agreed project assets. Our goal is to give you a lasting business capability, not create a dependency.

Can it run in our cloud or on our own servers?

Yes. We can deploy in your cloud, on your premises, or closer to the source of the data. The right setup depends on your security, speed, cost, and data-location requirements.

Selected work

AI systems running in production, described rather than named.

Our leaders

Subashis GuchaitSubashis GuchaitPrincipal: AI & GTM Solutions
Somnath JanaSomnath JanaPrincipal: Platforms & Integrations
Rupal ChakrabartyRupal ChakrabartyTeam Lead
Priya Singh DePriya Singh DeProject Manager

Partners in delivery

AI Cloud PartnerPartner Network
An SDTC Digital scoping session

Have an AI idea worth building?

Bring us your idea, your data, or even a project that has stalled. We will explain what it will take to launch, what it will cost to run, and whether custom development is truly the right choice for your business.