Best AI Control Planes for Supabase

Forest is an operational backend for regulated companies that need to run human teams, AI agents, BPOs, LLMs, workflows, and suppliers in one governed environment. The platform connects databases, compliance providers, internal tools, specialized agents, and external systems while keeping data inside the customer’s infrastructure. Forest provides the shared control plane where business logic, workflows, permissions, RBAC, smart actions, and audit trails are managed. Teams can use Forest to run regulated workflows on top of existing KYC and KYB providers such as Sumsub, Onfido, Veriff, Persona, and Trulioo. It supports onboarding workflows that combine identity verification, business registry checks, beneficial-owner discovery, document checks, screening, risk-based routing, agent triage, and human review. Forest’s MCP support lets AI agents call the same workflows used by human operators while attaching audit records to each action. The platform is designed for agentic operations in regulated environments where every action by humans, agents, BPOs, LLMs, and workflows must remain traceable. Forest also provides an implementation method that maps the company’s ecosystem, connects data and suppliers, designs operator journeys, and brings workflows into production. By combining governed workflows, live data access, MCP-based agent execution, auditability, permissions, and compliance controls, Forest helps regulated companies scale operations safely.

Humatron serves as a comprehensive AI workforce platform, transforming AI agents into secure and trusted digital workers that seamlessly integrate with various teams, tools, and business processes. Organizations have the ability to construct, recruit, tailor, train, oversee, and regulate these AI workers from a unified control dashboard, treating them more like digital personnel rather than mere assistants. Each AI worker can leverage advanced core agents, such as Claude, OpenAI, Manus, OpenClaw, Hermes, Cursor, or bespoke agent systems, which grants businesses the flexibility to interchange or update underlying models without altering the workforce layer. These AI workers are capable of operating independently, initiating and completing tasks, collaborating with team members, acquiring new skills, and communicating through established platforms like email, Slack, Teams, Zoom, and phone. The platform allows for the creation of builds that define reusable tools, rules, behaviors, and agent integrations, while each individual worker operates as a distinct instance tailored to meet the specific needs of a company, team, and role. This level of customization ensures that businesses can optimize their AI workforce to align perfectly with their operational goals.