Modiqo raises $3M to turn unreliable AI agents into repeatable workflows
What's the deal? Modiqo, an agentic AI infrastructure startup, has raised $3M in pre-seed funding to build Rote — a platform that captures successful AI agent runs and converts them into deterministic, reusable code. Heavybit and Seligman Ventures co-led the round, with participation from Irregular Expressions and angel investors.
The core problem Modiqo targets: AI agents start from scratch every time they perform a task, even if they've done it before. Model updates, API changes, and shifting context mean yesterday's successful execution can fail today in entirely new ways.
"Today's AI agents are impressive in the demo and unreliable in production," said Heavybit general partner Joseph Ruscio. "Teams pay the same rediscovery tax over and over."
Why now? As companies push AI agents from prototypes into production, the fragility of these systems has become a serious bottleneck. Each agent run relies on one-off chat logs rather than durable artifacts that can be tested and iterated on. Every model update or API change can silently break workflows, forcing teams to debug the same failures repeatedly.
Rote works as a local execution layer that requires no server infrastructure, sidecars, or SDKs. It connects agents to any API, records what happens during runs, and transforms successful executions into reusable workflows. Users can see exactly what each agent executed, when, why, and at what cost.
What could go wrong? Turning creative AI agent behaviour into deterministic code risks losing the flexibility that makes agents useful in the first place. If Rote over-constrains agent decisions, it could reduce them to brittle scripts — the very problem automation tools have long faced. The platform also enters a crowded and fast-moving agentic AI tooling space where incumbents and well-funded rivals are staking similar claims.
The signal: Modiqo's raise reflects a broader market shift from "can we build AI agents?" to "can we make them reliable enough to trust in production?" The excitement phase of agentic AI is giving way to an infrastructure phase focused on observability, reproducibility, and cost control.
"Rote captures what worked the first time and turns it into deterministic code — cutting token usage, reserving inference for the parts that genuinely need it, and reining in the context bloat plaguing today's agent stacks," Ruscio said.
Founder and chief executive Chetan Conikee said early adopters have validated the approach. "Teams stitch together prompts, skills, scripts and integrations that quietly break as context is lost and systems change, forcing them to rebuild the same workflows again and again," he said. "Rote turns successful executions into durable, reusable assets."
Read more: siliconangle.com
