For us, this award reflects a simple truth:
AI cannot succeed without evidence, trust, and governance. And enterprises need practical solutions to get there.
The relevance behind this recognition
Deep Analysis is an independent advisory firm specializing in information management, automation, and enterprise AI, known for its rigorous evaluations and for highlighting technologies that deliver real, measurable value.
Because the awards are not application-based and have no commercial component, they are widely regarded as an honest, analyst-driven benchmark of which technologies are moving the industry forward.
In announcing the award, Deep Analysis emphasized that this year’s selection was based on a consistent four-point lens:
- Solves Problems.
- Applies Ingenuity.
- Adds Value.
- Shows Flexibility.
Their decision to choose only two winners — LatticeFlow AI and Infrrd — speaks to a broader industry shift:
“This year, we have just two winners: LatticeFlow AI and Infrrd.”; “The fact that there are only two, down from a dozen or so half a decade ago, is telling.”— Deep Analysis
And the reason it’s “telling” becomes clear when you look at the reality enterprise teams face today.
In many organizations, AI projects slow down because governance becomes a barrier. The moment AI systems encounter internal GRC requirements or external regulatory expectations, momentum slows. Audit committees raise concerns. Compliance teams request formal evidence. Controls need to be documented and tested. Validation gaps appear.
Timelines that once looked like weeks begin to stretch into months, and in some cases, deployments stop entirely.
What enterprises need to move forward
For AI, ML, and GRC teams, this recognition highlights the growing need for solutions that provide:
- Deep technical assessments of data, models, and risks
- Traceable, reproducible evidence for internal and external compliance
- Automated controls and validation workflows that scale
- Cross-functional visibility between governance, risk, and ML teams
Organizations depend on LatticeFlow AI to evaluate their most critical AI systems without slowing innovation. This is how we help them go from lab to live without eroding their GRC integrity.
Our platform ensures that this work becomes structured, traceable, and achievable.
Looking ahead
This recognition from Deep Analysis comes at a moment when enterprises worldwide are reassessing how to deploy AI responsibly.
As our CEO, Dr. Petar Tsankov, puts it: “The biggest blocker to AI adoption is the inability to prove that models are safe, compliant, and ready for real environments. Evidence-based AI governance is the right scalable path forward.”
Our mission remains unchanged: to build global trust in AI by enabling organizations to validate, govern, and deploy AI responsibly and confidently.
This recognition is an important validation of our approach.
We are proud of the team behind it, and, most importantly, committed to helping enterprises achieve evidence-based AI Governance.
