How much does Personal AI cost?

Pricing is not published. Personal AI sells its enterprise platform, training and deploying custom AI personas on a proprietary memory and model stack, through a sales led motion, with scope tied to personas, users, and deployment. Expect a contact driven process and no public self serve enterprise tier.

Does Personal AI support MCP and tool calling?

Full under the Agentic Index verification standard. Personal AI publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: An API reference for api.personal.ai/v1, authenticated with an API key, covers endpoints to message a persona, retrieve a channel's conversation history, send instructions, create memories, upload documents, files and URLs, and get or updat. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Personal AI have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Personal AI publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: The company reports SOC 2 certification, HIPAA and GDPR compliance with a DPA for Enterprise, encryption at rest and in transit, and a Trust Center at trust.personal.ai. Access control for customers covers workspace roles of Owner, Admin, M. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Personal AI require human approval before an agent acts?

Full under the Agentic Index verification standard. Personal AI publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: Each persona has an AI Mode. On Copilot it drafts a response and does not send until the owner approves and sends it, on Autopilot it responds automatically, and the mode can be set as a persona default or separately for each chat and chann. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Personal AI

Q: Who is Personal AI for?

Enterprises building AI workforces, Fortune 500 companies, Telecommunications providers, Teams needing memory grounded AI

Q: What are the best alternatives to Personal AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Personal AI among agent infrastructure platforms are LlamaIndex, LangChain, Agno, Haystack. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Human AI Labs

Visit site

Agent infrastructureindependentVerified 2026-09-21

Entry priceNot publicFull pricing detail

AI persona and memory platform: personas trained on an organization's own content, each with segregated memory, working in messages, channels, SMS and voice on Autopilot or Copilot, with a documented API, now positioned as a telco-optimized stack for agents on the carrier network.

Personal AI builds AI personas trained on an organization's own content. Each persona is a distinct AI identity with its own segregated memory, trained by uploading documents, importing websites and whole sitemaps, and syncing Google Drive, OneDrive, Gmail and Outlook, and by saving messages to memory as it is used. Personas work in direct messages, group channels, public chat, SMS and voice, either on Autopilot, replying automatically, or on Copilot, drafting replies for a person to approve, with a Personal Score on every response and a threshold below which replies are not sent.

Enterprise workspaces add Owner, Admin, Member and Guest roles, persona-level collaboration roles, persona templates for common use cases, and audit logging, and an API lets developers message personas, retrieve conversations, create memories and upload documents. Personal AI reports SOC 2 certification and HIPAA and GDPR compliance, and hosts the platform on Google Cloud.

Its homepage now leads with a telco-optimized stack for agents on the carrier network, offering memory, identity and on-network inference with no app to install. Pricing is not published.

Vendor details

Canonical URL

https://www.personal.ai

Subcategory

Memory infrastructure and AI personas

Funding status

Independent, headquartered in San Francisco (operating as Human AI Labs), founded in 2020 by Suman Kanuganti (co-founder and CEO, previously founder of Aira), Sharon Zhang (co-founder and CTO, formerly of LinkedIn and MIT), and Kristie Kaiser (co-founder). The company pivoted from a consumer product to the enterprise and has raised around sixteen million dollars, with investors and partners including Microsoft, NVIDIA, and Verizon. Personal AI works with Fortune 500 companies and large telecommunications providers.

Company status

independent

Use cases & customers

Primary use cases

Training and deploying AI personasMemory grounded enterprise AICustom small language models on proprietary dataPrivacy first and on-network AI

Target customers

Enterprises building AI workforcesFortune 500 companiesTelecommunications providersTeams needing memory grounded AI

Deployment options

CloudDistributed / on-network

Integrations

Personal AI integrates into enterprise systems and supports distributed deployment, including on network delivery across telecommunications infrastructure integrated with voice, text, and data services, and across web and mobile. Its AI personas are trained on a customer's proprietary knowledge and draw on a persistent memory layer. The emphasis is on grounded custom models and integrated deployment rather than a broad catalog of third party application connectors.

In practice

An enterprise wants an AI teammate that actually knows its business. Personal AI trains a custom, grounded model on the company's proprietary knowledge so the persona answers from institutional memory, not the open internet.

A team needs AI that remembers across every interaction. Personal AI's persistent, identity based memory keeps context over time instead of resetting each session.

A telco wants privacy first AI delivered on its own network. Personal AI's small models support distributed, on network deployment integrated with voice, text, and data services.

Sources & related URLs

Research sources

https://www.personal.ai/ https://www.personal.ai/sitemap.xml https://docs.personal.ai/documentation/getting-started/introduction https://docs.personal.ai/llms-full.txt

Agentic Index coverage score

9.5 / 14 capabilities · 68%

Integrations & Tool Calling	Partial
Native integrations with Google Drive, OneDrive, Gmail and Outlook sync content into a persona's memory on a schedule, a Chrome extension saves web content, and the API accepts source names such as Slack when uploading. These integrations read content in, and none lets a persona take an action in those systems. SourcePersonal AI, docs.personal.ai memory integration pages and API referenceread 2026-09-21
Workflow Orchestration	Not documented
Personas are configured with directives per persona and per channel and respond in messages, and there are no stated workflows that sequence, branch or retry steps or mix deterministic nodes with agent steps. SourcePersonal AI, docs.personal.ai introduction, customization pages and release notesread 2026-09-21
Knowledge Grounding & RAG	Full
Each persona is trained on the customer's own content. That covers uploaded PDFs and Word documents, website content imported by URL or whole sitemap, CSV files, and Google Drive, OneDrive, Gmail and Outlook integrations that sync on a stated schedule, with each file associated to one or more personas and a colon command to narrow a conversation to a named document. Uploads become memory blocks available to the persona without retraining. SourcePersonal AI, docs.personal.ai introduction, training and referencing-documents pagesread 2026-09-21
Human Oversight & Guardrails	Full
Each persona has an AI Mode. On Copilot it drafts a response and does not send until the owner approves and sends it, on Autopilot it responds automatically, and the mode can be set as a persona default or separately for each chat and channel, or switched off. So the owner decides where approval sits and how much autonomy the persona has in each context. SourcePersonal AI, docs.personal.ai messaging-defaults and channel-creationread 2026-09-21
Security, Identity & Governance	Full
The company reports SOC 2 certification, HIPAA and GDPR compliance with a DPA for Enterprise, encryption at rest and in transit, and a Trust Center at trust.personal.ai. Access control for customers covers workspace roles of Owner, Admin, Member and Guest, persona-level roles of Owner, Manager and Collaborator, invite-only or shared publishing for each persona, and passwordless sign-in with two-factor authentication. SourcePersonal AI, docs.personal.ai compliance, workspace-settings and publishing pagesread 2026-09-21
Observability & Auditability	Partial
Comprehensive audit logging now covers user and activities, a conversation endpoint returns the history of a channel or session, and persona owners can monitor and review training from persona DMs. There is no stated step by step view of the prompts, retrieved memory, tool calls and outputs behind a persona's response. SourcePersonal AI, docs.personal.ai release notes, ai-conversation endpoint and create-persona pagesread 2026-09-21
Memory & State Persistence	Full
Each persona has its own segregated memory. Messages can be saved to memory during conversations, SMS threads keep conversation history between the persona and users across interactions, Multi-Memory lets a persona in a channel apply the relevant memories and keep updating its understanding as the chat goes on, and the Memory API creates timestamped memories programmatically. Memory blocks are browsable per persona in the Memory Stack, and the owner can clear all of a persona's memories. SourcePersonal AI, docs.personal.ai memory-stack, multi-memory, advanced-settings, Memory API and release notesread 2026-09-21
Deployment & Data Residency	Partial
The platform is hosted on Google Cloud, and Personal AI's homepage describes on-network inference on the carrier network for its telco stack in a single sentence. There are no published deployment options, regions or region selection. SourcePersonal AI, docs.personal.ai compliance and personal.ai homepageread 2026-09-21
Prebuilt Agents, Templates & Packs	Full
When creating a persona, an owner can choose from a library of pre-made personas by use case, launched as pre-built templates for common use cases across industries. The template pre-fills the persona's custom directive, instructions, tasks and guidance, and every field stays editable. SourcePersonal AI, docs.personal.ai create-new-persona and release notesread 2026-09-21
Triggers & Channel Coverage	Partial
A persona answers wherever people message it, in direct messages, group channels, public chat, persona DMs, SMS threads, voice responses, mentions in channels and the message API, and on Autopilot it replies to users' prompts automatically. Every start is a person messaging or mentioning the persona, and there is no stated schedule, webhook or system event that wakes it without a person initiating. SourcePersonal AI, docs.personal.ai messaging-defaults, channel-creation and release notesread 2026-09-21
Model Flexibility & Routing	Partial
From the message bar a user can send a prompt to ChatGPT or Google instead of the persona, the instruction API takes a chatgpt or search command, Perplexity is available for research, and the document editor's training tools run on Claude. The persona's own replies come from Personal AI's model, and there is no stated choice of the model that powers a persona, by workspace or persona, so for the persona itself Personal AI controls the model. SourcePersonal AI, docs.personal.ai message-bar-features, ai-instruction endpoint, training tools and release notesread 2026-09-21
APIs, SDKs & MCP Extensibility	Full
An API reference for api.personal.ai/v1, authenticated with an API key, covers endpoints to message a persona, retrieve a channel's conversation history, send instructions, create memories, upload documents, files and URLs, and get or update documents. There is no stated SDK or MCP server. SourcePersonal AI, docs.personal.ai API referenceread 2026-09-21
Testing, Debugging & Optimization	Full
Every persona response carries a Personal Score measuring how accurately it reflects the owner's knowledge and style, which owners are told to monitor to gauge accuracy and find areas to improve. An AI Response Threshold set per persona or channel stops responses below the score from being sent, a fallback auto-reply covers low-confidence answers, and owners improve the persona by editing responses into memory. SourcePersonal AI, docs.personal.ai messaging-defaults and introductionread 2026-09-21
Browser & Computer Use	Not documented
The Chrome extension saves web content into a persona's memory, and there is no stated browser, desktop or computer control by a persona. SourcePersonal AI, docs.personal.ai chrome-extension and introductionread 2026-09-21

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Not public

Not published; the site lists no pricing page.

What is public

No enterprise list prices are published. The platform capabilities are public, but pricing for training and deploying personas is quoted through sales.

Billing mechanics

Presumed enterprise subscription negotiated with sales, believed to scale with personas, users, and deployment, including custom model training.

Cost watchouts

No public rate card, so cost cannot be compared before talking to the company.

Variable cost rationale

No public rate or billing unit is published, so exposure cannot be read from the vendor's pages.

Additional watchouts

Confirm how pricing scales with the number of personas and users and whether distributed or on network deployment carries additional cost.

Sales call required

Yes, required for paid access

Free / trial

No public enterprise free tier

Key ambiguities

No pricing page appears in personal.ai's sitemap; the docs mention payments on personal accounts without stating prices.

Agentic Index verified 2026-09-21

Official pricing page

Related vendors

Alternatives to Personal AI

The closest documented capability profiles to Personal AI among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

LlamaIndex12.0 / 14Adds documented Workflow Orchestration
LangChain11.5 / 14Adds documented Workflow Orchestration
Agno13.0 / 14Adds documented Workflow Orchestration
Haystack12.0 / 14Adds documented Workflow Orchestration
Kerno8.0 / 14Adds documented Workflow Orchestration
Senso8.0 / 14Adds documented Workflow Orchestration

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Personal AI with other vendors →Compare all agent infrastructure platforms →See where Personal AI ranks →

Data confidence: medium

Head to head

Personal AI vs Hyperspell