Itoflow raises £1.8m to build AI agents

Itoflow, an AI platform for investment teams, has secured £1.8m in pre-seed funding.

The startup, founded in 2026, aims to create AI agents that learn each firm's research and portfolio management processes.

Funding and Backers

The funding round raised $2.5m (£1.8m) in total.

The round attracted angel investors including Cleo founder Barney Hussey-Yeo.

The round was led by Balderton Capital.

Technology and Approach

Itoflow's platform does not enforce a particular investment philosophy; instead, it translates each team's own approach into governed workflows that can operate across global markets and asset classes.

The platform supports equities, bonds, ETFs, commodities and digital assets.

The company claims its agentic infrastructure gives it greater control over the security and reliability of agents designed to operate for months or years as markets change.

Itoflow claims its agentic infrastructure allows for fine-grained control over agent behavior.

Pilot Use Cases

In current pilots, investment teams define the investment approach, risk constraints and review criteria they want Itoflow to apply.

Teams can customize the workflow to match their proprietary research methods.

Its AI agents then use those instructions to conduct quantitative research and backtesting, continuously monitor portfolios and surface material changes with supporting evidence.

Agents execute backtests against historical data to validate strategies before deployment.

They surface material changes with supporting evidence, allowing teams to act quickly.

This enables teams to research and review more investments, monitor more portfolios and apply their processes more consistently without building a significantly larger quantitative research function.

The platform's continuous monitoring flags deviations from expected performance.

Future Plans

Itoflow will use the funding to expand its engineering and quantitative research teams, accelerate product development and support its commercial and regulatory work.

The funding will also help the startup meet regulatory requirements for investment advisory services.

The expansion will also support the startup's commercial outreach and regulatory compliance.

Vision for Continuous Discovery

Aditya Jha, co-founder and CEO, says the long-term goal is to build self-improving investment agents.

Jha says the platform is designed to adapt to each firm's unique methodology.

He notes that agents should adapt to changing market conditions while staying within team-defined limits.

He adds that as an agent supports a mandate over months and years, it should learn which approaches continue to hold up, identify promising new signals and recognise when an apparent edge has decayed.

Within the parameters set by each investment team, these agents could become a powerful tool for continuous discovery.

This adaptive learning could reduce the need for large in-house research teams.

Integration with Our Tools

Performance data is accessible through the stats dashboard, enabling real-time analysis.

The platform integrates with our fixtures for market data and can be monitored through the squad interface.