Tess lets businesses hire governed Human AI agents with memory and a mission control. Plans from $20.83/month billed yearly, per workspace.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Tess is a platform for building and managing an AI workforce. Its central idea is the Human AI, which the company describes as an agent that holds a job rather than running a single task. Each Human AI has its own personality, budget and memory, learns from the work a company does, and can operate around the clock.
Tess places this after chatbots, copilots and single-task agents. Delegation happens in plain language, with no code, consoles or prompt engineering required. The site says more than 100 companies in 25+ countries use it, with 1.6M+ employees supported and 2.1M+ agentic tasks completed.
You hire a Human AI by choosing a name, a work mode, a model, a personality and the connectors it will use. Supervised mode reviews work with you, while Autonomous mode runs with full independence, 24/7. Memory, tools and schedule sit in advanced settings, and you can start from a template library or import an existing Human AI.
Work is managed in Cowork, a mission control that shows Human AIs as a live org chart with hierarchy, squads and managers. A day planner tracks schedules and runs, and each Human AI exposes run history, approvals and hierarchy layers. You describe a goal and Tess plans the work, routes it through integrations and reports back with the deliverable.
The platform gives access to 250+ models from labs including OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek and xAI, selectable per agent or per run. Living Memory turns files, brand assets and decisions into a connected knowledge graph that agents can navigate by meaning, agent, team or type, so knowledge builds up as tasks complete.
Cowork adds a multiplayer workspace where teammates steer Human AIs together, plus voice-led daily meetings that end with a recap and action items. For developers, Tess offers webhooks, OpenAI-compatible APIs and an MCP server. Governance tools include workspace permissions, budgets, approval gates, audit trails and SIEM audit events.
Tess is an AI workforce platform for businesses. It lets teams hire Human AIs, which are agents with their own personality, budget and memory that work a role and learn from company activity. It includes a Cowork mission control and governance tools.
Professional is $20.83/month and Business is $41.67/month when billed yearly, per workspace. Both begin at 4,000 monthly credits, with higher tiers up to 300,000. Enterprise pricing is custom.
No. Plans are per workspace and one subscription is shared across unlimited users, with no seat fee for adding teammates.
The site says you can hire your first Human AI without a credit card. A first paid subscription includes a 7-day satisfaction guarantee, with a full refund if you contact support within 7 days of purchase.
Tess provides 250+ models from OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, xAI and others. New models are added as released at no extra subscription cost, and you choose the model per agent or per run.
Gmail, Drive, Slack and HubSpot appear as connectors. Tess also supports Zapier, N8N, webhooks, an OpenAI-compatible API, MCP plugins and an MCP server.
Yes, Enterprise adds SSO (SAML), SIEM audit events, advanced data privacy and compliance, onboarding, Forward Deployed Engineering as an add-on, custom MSA and SLA, and PO and invoice billing. The site lists GDPR and LGPD.
Credits are the usage currency for model calls, agent runs and tool executions, based on the model and job size. Plans include a monthly allowance plus daily bonus credits, and credit packs can be added to any plan.