logo

Protean was founded by two seasoned software engineers: one specializing in platform engineering and business process management, and the other focused on system integration and translating complex concepts into robust, real-world solutions. With a combined four decades of experience building mission-critical enterprise systems, they have delivered solutions that power the core and differentiating processes of large organizations.

Proven Track Record

Over the past seven years, the co-founders led the creation of a development platform that became the de facto standard for building custom applications within one of Europe’s largest tech enterprises. Their complementary strengths produced a platform that was simple, complete, and truly developer-first, achieving levels of quality and speed once thought impossible.

The AI Challenge

When that same enterprise began experimenting with AI, the duo was brought in to revive initiatives trapped in “POC purgatory.” Determined to keep everything in-house for data sovereignty, the company faced immense complexity managing infrastructure through CI/CD, integrating fragmented deployment tools, orchestrating code across multiple libraries, and keeping pace with the rapid evolution of AI research.

This hands-on work exposed deeper challenges: delivering AI that truly creates value requires more than just running a model; it demands reliability, scalability, cost-efficiency, and adaptability.

The Protean Solution

Rather than build yet another MLOps tool or model API, the co-founders set out to unify the entire lifecycle of enterprise AI within a single self-hosted platform designed around simplicity and sovereignty. Protean AI enables teams to fine-tune smaller, domain-specific models, run them on cost-efficient enterprise hardware, and expose them through foundational APIs that can be composed into ready-to-use capabilities such as RAG, chat, and more. While others pursue ever-larger general-purpose models, Protean AI delivers cost-efficient, high-performance AI tailored to real-world enterprise needs, bridging the gap between experimentation and production.

While others chase ever-larger general-purpose models, Protean delivers cost-efficient, high-performance AI tailored to real-world enterprise needs—bridging the gap between experimentation and production.

40+

Years Combined Enterprise Experience

7 Years

Building Development Platform

100%

Self-Hosted & Sovereign AI Solutions

Co-Founders


Mansur Abdirimov
&
Harshit Kapoor

The Result

Purpose-Built Platform

An AI development platform designed specifically for software teams building AI-native applications.

No Deep ML Required

Get started without a machine learning background; the tools are intuitive, powerful, and ready to use.

No Infrastructure Headaches

Skip the complexity of managing servers and pipelines and focus entirely on building great AI products.

Fast & Fully Controlled

Deliver AI-native applications faster, with complete control over data, models, and deployment.

Our Team

Our Team Members

Mansur Abdirimov
Mansur Abdirimov

All Things Infra

  • Designed & deployed AI infrastructure
  • Architected large-scale distributed systems
  • Built & scaled developer ecosystems
  • Developed foundational tooling for developer velocity
  • Drove platform adoption across teams
Harshit Kapoor
Harshit Kapoor

All Things Dev

  • Operationalised AI for enterprise workflow
  • Built mission-critical enterprise software
  • Shipped products at startup speed
  • Streamlined complex software development
  • Simplified adoption of emerging tech
Founders & Platform

FAQs

Answers to the most common questions about our founders, why we built Protean, and how the platform turns enterprise AI from POCs into production.

Off-the-shelf tools are built for generic use cases and require sending data to third parties. The founders recognized that enterprises need sovereign AI built around their unique workflows, with privacy and control at the core.

Four decades building mission-critical systems and seven years leading a developer platform that became a de facto standard inside a major European enterprise.

It’s self-hosted. Training, inference and APIs run inside your infrastructure, so sensitive data, models and telemetry never leave your control.

Smaller models tuned on your data deliver accuracy where it matters, run efficiently on enterprise hardware, and reduce cost and operational burden.

Unified workflows for training → deployment → runtime APIs, plus building blocks like RAG and chat, so software teams can ship without stitching tools together.

It consolidates CI/CD-friendly training, deployment, orchestration and monitoring into one platform, replacing ad-hoc scripts and mismatched components.

Faster delivery of AI-native applications, lower cost per inference, and complete control over data, models, and deployment, enabling a smooth transition from experimentation to reliable production.

No. It’s designed so existing software teams can fine-tune, deploy and operate models without large, specialized ML teams.

Protean unifies the full lifecycle with opinionated, production-ready runtimes and composable capabilities (e.g., RAG, chat), rather than leaving you to assemble a toolchain.

© 2025 CoGrow B.V. All Right Reserved

Book a Call