Tabnine Named Winner of InfoWorld’s 2025 Technology of the Year, and What It Really Means for Enterprise AI Engineering

When you’re building AI for the enterprise, awards aren’t the goal, but they’re a meaningful signal you’re solving real problems. Today, we’re proud to share that Tabnine has been selected as the winner of Foundry’s InfoWorld 2025 Technology of the Year, recognizing the most innovative products shaping software development, DevOps, data engineering, and AI/ML.

For us, this isn’t just a trophy. It’s validation of a very specific bet we made early:

AI coding tools must be governed, secure, context-aware, and enterprise-ready. Or they will fail the teams who need them most.

Most of the industry focused on “wow moments.” We focused on trust, control, and real productivity. That’s what got us here.

Why This Recognition Matters Right Now

AI is everywhere, but enterprises are still trying to figure out how to adopt it without compromising security, IP, or engineering quality. The market is increasingly divided between:

• Vibe coding tools optimized for demos, and
• Governed AI engineering platforms built to support thousands of developers, millions of lines of code, and mission-critical workloads.

Tabnine was built for the latter.

InfoWorld’s editors specifically highlighted how AI is reshaping the technology landscape “in surprising ways.” The surprise, in our view, is that enterprises are no longer willing to bend their security models to fit a vendor’s SaaS. They want AI that fits their world, their perimeter, their governance requirements.

That’s exactly what Tabnine delivers.

What Set Tabnine Apart (According to Our Customers)

1. The Enterprise Context Engine

This remains the heart of our platform. Developers aren’t asking for generic LLM responses. They want AI that understands:

• Their architecture
• Their coding standards
• Their libraries and frameworks
• Their documentation
• Their test patterns
• Their intent

Context is what separates noise from real value. It’s how we help prevent technical debt, catch inconsistencies, and generate code that actually belongs in your system.

2. Zero-Compromise Security and IP Protection

No data retention.

No “trust us, it’s anonymized.”

And yes, that includes being able to run inside your VPC, on-premises, or fully air-gapped, with offline updates through approved media. Our customers include teams operating in ITAR-controlled and export-restricted environments, so security-by-design isn’t a feature, it’s the foundation.

3. Deployment Flexibility That Matches the Way Enterprises Work

When security teams say “inside the perimeter,” they mean it. AI must run where the code lives, not where the vendor prefers to host it.

Tabnine supports SaaS, on-prem, VPC-hosted, hybrid, and air-gapped deployments so organizations never have to compromise.

4. A Centralized AI Control Plane

As our customers scale from pilots to thousands of developers, one theme keeps coming up:

You can’t scale AI without governance.

Our control plane gives organizations:

• Granular access controls
• Model and provider choice
• Policy enforcement
• Auditing and accountability
• Cost visibility and predictability
• Real usage insights

This is the difference between letting hundreds of agents run wild vs. transforming your SDLC in a safe, governed, measurable way.

A Milestone, But Just the Beginning

We see this award as a reflection of what our customers have been building with us over the past year:

• Agentic workflows that accelerate planning, creation, testing, and documentation
• Secure AI deployments in some of the most highly regulated environments on the planet
• A shift from ad-hoc experimentation to AI as a foundational layer of the SDLC

It’s exciting to see the industry catch up to what enterprise engineering teams have been telling us all along:

AI isn’t truly useful until it becomes context-aware, governable, and production-safe.

Looking Ahead

2025 is the year organizations stop experimenting and start institutionalizing AI.

With Tabnine’s Enterprise Context Engine, secure deployments, and centralized control plane, and now with InfoWorld’s recognition, we’re more energized than ever to help teams build better software, faster, and with complete confidence.

If you’re exploring how to scale AI safely across your engineering organization, or just want to see what the excitement is about, join us for a demo or reach out to the team. The next wave of software development is governed, context-aware, and enterprise-ready.

And we’re just getting started.