AI ENGINEERING STUDIO
AI that ships.Not AI that demos.
Most AI pilots never reach production. We build the ones that do — agents, retrieval systems, and vision models running against real users and real data.
02 / 06
RAG & Knowledge Systems
03 / 06
Computer Vision
04 / 06
iGaming Platforms
05 / 06
Full-Stack Product
06 / 06
ML Engineering
14
Technologies
8+
Years of Engineering Experience
Expertise
Engineering Intelligence Into Your Business
From AI agents and knowledge systems to full-stack products and cloud infrastructure, we design and build technology around the way your business actually works.
AI & MACHINE LEARNING
AI systems, intelligent automation, and machine learning solutions built for real-world production environments
Product Engineering
Full-stack products, platforms, cloud infrastructure, and software systems built to scale
Growth
SEO and digital marketing strategies that help technology companies increase visibility, traffic, and revenue
Use cases
AI use cases for every industry
How we work
From idea to production
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01
Discovery
We scope the problem, the data you actually have, and what a successful pilot would need to prove — before any code gets written
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02
Pilot
We ship a narrow, measurable pilot fast, against real data and real users, so we validate the approach before investing in the full build.
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03
Build
We harden the pilot into a production system — the error handling, monitoring, and edge cases a demo can skip but production can't.
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04
Rollout
We roll out with a change management plan, so the people using the system day to day are ready for it, not surprised by it.
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05
Support
We monitor the system in production, retrain and tune as data drifts, and stay on to support it after launch.
Our stack
Built on tools that scale
FAQ
Questions, answered
How much does custom AI development cost?
| The cost of custom AI development depends on the scope, complexity, integrations, data requirements, technology stack and deployment environment. NeuroML.AI first evaluates your requirements and then recommends an appropriate architecture and development approach. |
Can you integrate AI into existing software?
Yes. We integrate AI capabilities into existing web applications, mobile apps, enterprise software and internal systems. Depending on the use case, integrations can include LLMs, RAG pipelines, AI agents, APIs, databases, automation workflows and third-party platforms.
Do you build RAG applications?
| Yes. We build Retrieval-Augmented Generation (RAG) systems that connect AI models with business documents, databases and knowledge sources. Our approach includes document processing, retrieval, context management, evaluation and production deployment. |
Get in touch
Tell us what's stuck
Send us the shape of the problem — the pilot that stalled, the retrieval that hallucinates, the model that drifted. We'll tell you honestly whether we're the right people for it.