Personal AI
Private AI trained on your own memory — now aimed at telcos
Overview
Trains a private language model on your own messages, notes, and documents to build a persistent AI "memory" or digital twin, with a no-data-sharing stance. As of 2026 the company has repositioned toward a telco/carrier-network personal-agent stack rather than a standalone consumer app.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 13 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
What you can produce with Personal AI
- Trains a private personal language model on your own data
- Persistent memory recall of messages, notes, and documents
- Persona Studio for building AI personas
- Memory Core / on-network MODEL-4 deployment
- No-data-sharing, data-ownership stance
- Telco edge deployment via small language models (no app install)
ASEAN Perspective
Personal AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Personal AI's original pitch was distinctive: train a language model only on your own messages, notes, and documents, so it recalls and answers as an extension of you, with an explicit data-ownership promise. That memory engine still looks like its strongest asset. But the 2026 company is not really selling that consumer app anymore. Its site now leads with an "AI Memory Platform" for businesses and telecom carriers — Persona Studio, Memory Core, and an on-network MODEL-4 — and founder Suman Kanuganti is publicly pushing "AI token plans" bundled by carriers like voice and data. Named partners include AT&T, T-Mobile, Verizon, Comcast, and Lanner Electronics. If you want a personal digital twin today, confirm the consumer product is still supported and staffed before committing; the momentum, and the roadmap, have clearly shifted to enterprise and telco infrastructure.
What people say
Independent user reviews are thin, which is itself telling — Personal AI never built the consumer footprint of mainstream assistants, and by 2026 it has largely turned away from that market. The coverage that exists praises the core idea more than the polish: category roundups describe it as the strongest "pure-memory" tool around, able to recall notes and past messages and answer in your voice, but with limited third-party integrations compared with general chatbots.
The company's public direction is now unmistakably telco and enterprise. Fierce Network reported founder Suman Kanuganti's argument that carriers are uniquely placed to monetize AI using network data, with "token plans" — bundled like voice, text, and data — expected in the U.S. within six to nine months of his mid-2026 comments. Personal AI has publicized engagements with AT&T, T-Mobile, Verizon, and Comcast, and in October 2025 partnered with Lanner Electronics to push AI inference to the network edge.
The technical bet is small language models. Per NVIDIA research cited by the company, Personal AI's SLMs deliver over 20x better cost efficiency than large models while holding comparable accuracy on specialized tasks — the pitch being on-network, no-app-install personal agents ready for the 6G era.
On pricing, the current site no longer shows self-serve consumer tiers; it routes to "Talk to Sales" and "Book a Carrier Briefing," with MODEL-4 licensed under a single deployment-and-support agreement on the customer's own network. Older third-party listings still cite a free "Ignite" tier and a roughly $40/mo "Launch" plan, but those look increasingly stale against the enterprise repositioning.
Net: the memory technology is real and differentiated, and the no-data-sharing stance is a genuine selling point. The risk is product continuity. Anyone evaluating Personal AI as an individual should verify the consumer app is still actively supported, since the company's energy, funding narrative, and named customers now sit squarely in telecom infrastructure rather than direct-to-consumer software.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Personal AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Personal AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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