- Pre seed
- $5,000
- Up To
)
Taito.ai is an AI-first people operations system for founders, operators, and people pioneers at growing companies.
People directory, time off, documents & eSignatures, people agents, and performance in one place. Set it up yourself in under 30 minutes. Configure your onboarding, probation, and offboarding once — Taito runs them on autopilot from there.
It works where your team already works: in Slack for day-to-day requests and approvals, and via MCP for any AI tool in your stack. Regional compliance is built in from day one. ISO 27001 certified and GDPR compliant.
Built for founders and early operators who need a scalable people ops foundation without adding admin headcount — and for people pioneers who were hired for strategy, not for building spreadsheets and chasing forms.
1. AI-native by design, not bolted on
Taito is built around agentic workflows from the ground up. Onboarding, probation, payroll prep, and performance cycles run end-to-end without anyone operating them. Your AI agents can access everything via MCP - with granular & secure access controls.
2. Automation-first, not a filing cabinet
Traditional HRIS is a system of record. Taito is a system of action. Contracts are generated and sent for signing automatically. Time-off requests route and approve themselves. Payroll reports are packaged and export-ready every cycle. The difference is that nothing waits for a human to push it forward.
3. Built for founders before the first HR hire
Most HRIS tools assume you already have a People Lead to configure and operate them. Taito is designed to be set up by a founder in under an hour and run without a dedicated HR person. You buy the outcome, not another tool for someone to manage.
4. Slack-native, zero adoption cost
Employees book leave, sign documents, ask policy questions, and complete onboarding tasks without leaving Slack. No new login, no rollout email, no adoption project. The product works because the team already works in Slack.
5. Regional compliance out of the box
Statutory leave, working-time rules, and contract templates ship preconfigured for the Nordics, EMEA, UK, and US. Every new hire in a new market gets the right policy automatically. No policy lawyer, no manual configuration, no annual corrections.
6. Up and running in hours, not months
A founder workspace is usable in under an hour. There is no implementation project, no consultant on retainer, no kick-off deck. Most HRIS tools at this price point still require weeks to go live. Taito does not.

Faculty is a company that builds and deploys safe AI systems that combine the best of human and artificial intelligence to help their customers achieve exceptional performance. read more

Din Psykolog provides online psychological services with quick access within 24 hours for 100 SEK per visit, assisting users with anxiety and worry professionally and conveniently. read more

Strise is a company that provides an AML Intelligence System to help businesses fight financial crime. Their AI-powered system turns AML from a cost center to a winning strategy by offering ... read more
January 2024 - September 2025
Faculty rolled out Taito company-wide to support the performance review process for 309 employees across all departments during Spring 2025. The goal: to flatten the curve of performance activity between review rounds via continuous feedback, while saving time on traditional review processes and continuing to enable leaders to make informed decisions with data. In the lead up to the review cycle, Faculty saw a 50% increase in Taito.ai platform utilisation and up to 300 feedback points shared weekly among 309 people. Taito.ai now supports end-to-end performance enablement—combining real-time feedback, personalisable 1:1 templates, and performance reviews. Now fully embedded in Faculty’s performance tool stack alongside HiBob HRIS and pay modeling platform Pave, Taito.ai powers the company’s shift from traditional reviews to an integrated, continuous model that saves time, improves calibration, and enhances employee growth at scale. https://taito.ai/faculty-performance-management-AI