Annual Report · 5 min read
2025 Year in Review: 402% More Queries and the Number That Mattered Even More.
By Ugyen Dendup, CEO and Co-Founder, NoMind · Published January 2026
The headline from 2025 is 402.4% growth in queries resolved. From 144,401 in 2024 to 725,496 in 2025. That is 581,095 more queries handled by our agents in a single year.
That number is real and we are proud of it. But it is not the one we care about most.
The number we care about is 5.17. That is how many queries per customer our agents averaged in 2025. Up from 1.43 in 2024. A 3.6x increase in how deeply customers engaged with our systems.
More queries per customer means users came back. They asked follow-up questions. They had conversations. Our systems stopped being FAQ responders and started being genuinely useful tools that people returned to.
That is what 2025 was about.
The 2025 Numbers
725,496
Total Queries
5.17
Queries per Customer
+39,300
New Customers
402.4%
Query Growth
Why Queries Grew 10x Faster Than Customers
We added 39,300 new customers in 2025 — strong growth. But our queries grew 402%. The math only works one way: existing customers came back and used our systems far more than they had before.
That shift happened because of deliberate engineering decisions we made going into 2025. We rebuilt the conversation layer to hold context across multiple turns instead of treating each message as isolated. We improved how our agents handled ambiguous queries. We built better escalation logic so that when the AI could not answer confidently, it handed off gracefully rather than failing visibly.
Users noticed. They stopped treating our agents as one-shot query tools and started treating them as something closer to an always-available colleague.
From 1.43 to 5.17 queries per customer. The systems did not just get more users. They got more trusted.
What the 402.4% Number Means in Practice
581,095 additional queries in 2025 represents an enormous amount of time saved. If each query would have otherwise taken 3 minutes of human staff time to handle, that is over 29,000 hours of institutional capacity freed up across our client organizations. That is not a product metric. That is operational transformation.
The institutions we work with are running leaner, faster, and with more capacity for complex work because the routine volume is handled.
The Same 7 Agents, Dramatically Better
We did not add new agents in 2025. We made the existing 7 significantly better. This was an intentional choice. We had 7 production systems with real usage data, real failure modes, and real user behavior to learn from. Adding more deployments would have spread our attention. Going deeper on what we had built compounded the quality.
The 5.17 engagement figure is the result of that compounding.
In 2026, we expand the portfolio. In 2025, we made sure the foundation was strong enough to build on.
Year on Year Comparison
| Metric | 2024 | 2025 | Growth |
|---|---|---|---|
| Total Customers | 100,980 | 140,280 | +39% |
| Total Queries | 144,401 | 725,496 | +402.4% |
| Engagement (Q/C) | 1.43 | 5.17 | 3.6x |
What Comes Next
2025 closed the chapter on proving that our deployed systems are genuinely useful at scale. Both numbers confirm it: the volume is there and the depth is there.
2026 is a different kind of year. We are moving beyond AI agents for customer-facing interactions into deeper enterprise and government work. Internal automation. Operational intelligence. AI systems that change how organizations run, not just how they answer questions.
The 7 agents we have built and improved are proof of what is possible. The next phase is applying that same capability to harder, higher-value problems.
We are building toward that now.
See what we are building next. /solutions