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Research report
AI Does Not Remove the Bottleneck
Find your real workflow constraints before buying AI tools.
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.
Of production engineering experience
Delivered, including 150+ AI systems
Of projects launched within the agreed timeline
Clients we've worked with
Ready-made AI tools are built for everyone, which means they may not fully solve your problem. We create AI around your data, goals, and daily workflows so it delivers greater accuracy, easier adoption, and lasting value.
Of clients move into implementation within 90 days
AurvikAI delivery data
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 workAverage time to a working prototype
Of projects reach production within the agreed timeline
Practical systems that help your business predict, understand, automate, and personalise.
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.
average improvement in forecast accuracy
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.
For understanding, creating, and transforming written information.
For recognising, classifying, and inspecting images or video.
For fast and understandable decisions based on structured business information.
Multiple models working together to improve consistency and reduce errors.
Replace slow manual work and poorly fitting tools with AI built for the way your organisation operates.
Straight answers from a team that has delivered 600+ production systems, including 150+ AI systems.
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.
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.
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.
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.
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.
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.
AI systems running in production, described rather than named.
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.