yotta_bot

Manage your agentic ecosystem from an AI-native control plane that lets you ship from prompt to prod and run it where you need it

Unify your code, infrastructure, applications, data, and operations into a single control plane where AI agents can work with full context, security, and governance

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Why a control plane

Agents need a control plane, not just a manager

“Companies in this space are rushing to build platforms to manage agents and agentic workflows. While necessary, they are missing the core pain point for the business. Those platforms fail to unify the data sources the agents read from and the targets they mutate into a cohesive control plane that provides a paved road to prod while also enforcing proper security and governance.”
Tiffany Yang CTO & Founder of yotta_bot
Agent Management Platform

Manages agents in isolation

Builds, orchestrates, and observes agents and agentic workflows. Identity, context, secrets, policy, and the underlying systems agents read from and mutate stay outside the product—you wire them up.

Scope
Agents and workflows
Identity
Agent identities
Context
What you tell each agent
Governance
Per-agent policy
Underlying systems
Bring your own, wired in
Agent Control Plane

Operates the agentic enterprise

Unifies where integration with your systems happens. Wire up your data sources, clouds, secrets, and identity providers once; every new agent or workflow then inherits the access, policy, and audit you’ve already configured—instead of re-stitching the same plumbing into every service.

Scope
Agents, workflows and the platform they run on
Identity
Humans, services, workloads, agents
Context
Multi-modal view of every system agents touch
Governance
Same policy and audit across every layer
Underlying systems
Built-in, with paved-road to prod
The problem

Agent Sprawl is the New Operational Sprawl

Organizations are deploying AI agents across engineering, security, operations, and business teams faster than they can govern them.

Agents operate across source code, cloud infrastructure, applications, data, and workflows—yet most organizations manage them as disconnected tools with fragmented permissions, isolated context, and inconsistent controls.

Without a shared understanding of the environment, agents duplicate work, waste compute, make decisions with incomplete information, and introduce new operational risks.

As agent adoption accelerates, organizations need more than agent frameworks and workflow builders. They need a system of record, a governance layer, and a control plane.

The agent era requires a new operating model

The solution

A Unified Control Plane is Needed for the Agentic Enterprise

Unify your code, infrastructure, applications, data, and operations into a single control plane where AI agents can work with full context, security, and governance.

Our platform builds a live operational view of your organization—relationships, semantics, and history—giving agents a shared understanding of systems, services, identities, resources, and workflows.

With built-in identity, secrets management, policy enforcement, observability, and orchestration, agents can operate securely and at scale—without sacrificing governance or control.

Our Products

Explore Our AI-Native Products

Identity, context, execution, storage, security, and observability—built as a unified platform for agentic enterprises

Many of these capabilities already exist in traditional cloud platforms. AWS, Azure, and Google Cloud offer identity, storage, secrets, observability, and countless other services. The difference is that those platforms were designed for humans, applications, and infrastructure

yotta_bot was designed for agents from day one

Every product shares the same identity model, context substrate, policy engine, observability layer, and governance framework. Agents don't need custom integrations, fragmented permissions, disconnected context stores, or isolated workflows to operate across the platform. Context, permissions, telemetry, and policies are available everywhere by default

And while yotta_bot provides native implementations for many platform services, you're never locked in. Use yotta_bot's services where they add value, or connect the providers and tools you already trust. Whether you're using AWS, Azure, Google Cloud, Datadog, Splunk, HashiCorp Vault, GitHub, or internal platforms, yotta_bot provides a unified control plane across all of it

  1. 01AlbusTake any service, agent, or workflow from prompt to production in one PRAgentic Launchpad for Building Unified Systems. Coding agents call Albus when an engineer asks them to build a new service, agent, or workflow—or migrate an existing one. Albus discovers existing capabilities in Yotta Context, mints the right identity primitive for the shape (workload identity for services, first-class agent identity for agents), wires identity / secrets / observability / deploy targets / eval-runs per the org's scaffold policy, and bundles the IaC, code (or agent specs and tool definitions), runbooks, architecture docs, and README into a PR series for human review. Covers the full mode × shape matrix from one MCP entrypoint — including the recursive case where coding agents call Albus to build new Yotta agents.
  2. 02ContextA live, multi-modal context layer across your entire organizationMulti-modal substrate combining a property graph for relationships and dependencies, a vector index for semantic capability discovery, an event log for provenance and audit, a document store for heterogeneous resource metadata, and an inverted index for keyword search. The discovery layer agents and Albus read to know what already exists, what depends on what, and what's safe to do next.
  3. 03Agent PlatformBuild, deploy, orchestrate, and govern agents at scaleManage agent lifecycles, workflows, permissions, execution environments, and operational policies from a single control plane.
  4. 04IdentityIdentity for humans, services, workloads, and agentsManage authentication, authorization, policies, and trust relationships across every actor in your environment. Agents receive the same security, governance, and lifecycle controls as any production workload.
  5. 05Artifact RegistryA unified registry for containers, packages, tools, prompts, and agent artifactsManage and distribute agent runtimes, containers, packages, tools, prompts, and deployment bundles through a unified operational model.
  6. 06Blob StorageObject storage for files, datasets, artifacts, and generated contentStore files, datasets, documents, artifacts, and generated content while maintaining consistent identity, governance, and access controls across providers.
  7. 07Secrets ManagerSecrets management for applications, services, workloads, and agentsManage long-lived credentials, dynamic secrets, API keys, certificates, and service identities from a single product. Automate rotation, enforce access policies, audit usage, and securely deliver secrets to applications, workloads, and agents. Native or integrated with your existing secrets infrastructure.
  8. 08Keys ManagerCryptographic key management across clouds, workloads, services, and agentsGenerate, rotate, manage, and use encryption keys through yotta_bot or integrate with cloud KMS and enterprise key management systems.
  9. 09Metrics ManagerUnified metrics, dashboards, and observability for every system and agentCollect metrics directly in yotta_bot or federate telemetry from existing observability platforms into a unified control plane.
  10. 10Logs ManagerSearch, analyze, and govern logs across your entire operating environmentCapture agent activity, workflow execution, infrastructure events, and application telemetry natively—or integrate with existing logging and SIEM platforms.
  11. 11Alerts ManagerAlerting and incident response across every service, workload, and agentCreate alerts within yotta_bot or aggregate, correlate, route, and manage alerts from your existing monitoring, security, and operational systems.
  12. 12Drone PlatformCoordinate autonomous systems in the physical worldManage fleets, telemetry, incidents, and operational workflows for drones and autonomous devices.
  13. 13Trading PlatformStrategy-driven trading with research, backtesting, execution, and risk built inAuthor strategies, run backtests against replay datasets, promote from draft through paper to live, and gate every order intent through risk rules and approvals. Research and execution agents come from Agent Platform; live broker routing stays compliance-reviewed.
  14. 14SRE PlatformThe agentic SRE team for the enterpriseTriage alerts, investigate incidents, run runbooks, and ship post-mortems — every hop, step, and citation grounded in Yotta Context, the shared multi-modal discovery layer across your services, infrastructure, code, and signals. Same identity, audit, and runtime as the rest of the control plane.
Our Capabilities

Seven capabilities
One operational model

yotta_bot provides the foundational capabilities required to operate agents as production workloads—with context, identity, governance, orchestration, and Infrastructure as Code built into the platform from day one

  1. 01Infrastructure as CodeManage agents via infrastructure as code
  2. 02ContextGive every agent a shared understanding of the environment
  3. 03IdentityTreat agents like first-class identities
  4. 04OrchestrationCoordinate agents, workflows, and systems at scale
  5. 05GovernanceStandardize how agents operate
  6. 06ObservabilityUnderstand every action an agent takes
  7. 07PortabilityRun anywhere without changing your operating model
Infrastructure as Code
01

Manage agents via infrastructure as code

Define agents, workflows, identities, permissions, integrations, and platform resources using Terraform or Yotta IaC. Every change is versioned, reviewable, reproducible, and deployable through your existing delivery pipelines.

Context
02

Give every agent a shared understanding of the environment

Build a live operational graph connecting code, infrastructure, applications, data, identities, workflows, and agents into a single source of truth.

Identity
03

Treat agents like first-class identities

Issue identities, manage permissions, broker secrets, and enforce least-privilege access across every agent, workload, and system.

Orchestration
04

Coordinate agents, workflows, and systems at scale

Define how agents execute, collaborate, escalate, and interact across tools, services, APIs, and business processes.

Governance
05

Standardize how agents operate

Apply policies, approvals, compliance controls, audit trails, and organizational guardrails consistently across every agent and workflow.

Observability
06

Understand every action an agent takes

Collect metrics, logs, traces, costs, decisions, and execution history from agents, workflows, and platform services in real time.

Portability
07

Run anywhere without changing your operating model

Deploy in yotta_bot cloud, your own self-hosted cloud accounts, on-prem environments, edge locations, or sovereign infrastructure while maintaining the same control plane and governance model.

How you run it

Pick the deployment that matches your needs

Cloud

We run it

A dedicated cloud account and Kubernetes cluster per environment. Your data never sits beside another customer's.

Isolation
Cloud-account boundary
Your team sees
yotta_bot product UI only
You manage
Users, agents, workflows
We manage
Cloud infra, Kubernetes, databases, releases
Self-hosted

You run it

The same product, packaged as Helm charts you install in your own Kubernetes cluster.

Isolation
Your network, your account
Your team sees
Everything
You manage
Everything
We provide
Charts, docs, release notes

Try it for yourself

Schedule a demo with someone on our team. We’ll explore your use cases, answer your questions, and find the deployment model that best fits your needs.

Book a demo →