MywnAI
NEW Just launched: News Journey Free and MIT licensed, with Claude Code and Codex plugins in our GitHub marketplace. One brief becomes a sourced newsletter and a narrated video.
News Journey on LaunchIgniter Launch pending approval
NEW Just launched: the Temporal map New on MyOwnAI Labs: explore how AI stories connect and change over time. Open the map and guided tour →

MyOwnAI — sovereign AI systems

Own harness. Own data.
Own model. Own product.

MyOwnAI designs and ships agentic AI platforms and on-device intelligence for organizations that need to own the whole stack — not rent it.

We build for organizations that cannot send their data to a shared cloud model — regulated enterprises, defense and public-sector programs, and physical or robotic systems that must keep working when the network drops. The product is an owned agent runtime: policy controls over what an agent may do, evidence capture and audit trails, human approval gates, and compressed models that run on hardware you control.

“I don’t wait for the frontier. I architect it.”

Read The Daily Signal → Explore the Temporal map → How it’s built Book a demo
Edge AI Physical AI Space Quantum

Thesis

Your own harness. Your own data. Your own model. Your own product — per customer. Four frontiers make it possible: Edge puts inference on your own hardware, Physical AI puts it inside machines that act, Space carries it where the network cannot reach, and Quantum changes what is computable at all. Across all four, sovereignty stops being a policy promise and becomes an architectural fact.

The four frontiers

An arc that runs outward — from the chip in your hand to the physics underneath it.

01

Edge

For a decade we sent intelligence to the cloud. That era is ending. The next one runs at the edge — on every device, every sensor, every machine. Inference where the world actually happens.

What we're building at the edge →
02

Physical AI

Intelligence is stepping out of the screen. Robots that perceive, reason, and act. Embodied agents in the real world. The keyboard was never the destination.

What we're building in Physical AI →
03

Space

From there, we go up. The final frontier — where AI doesn’t assist the mission. It is the mission. Autonomy beyond the reach of Earth.

What we're exploring in Space AI →
04

Quantum AI

And the leap that changes all of it. The next big thing. Compute that doesn’t scale — it transcends.

What we're exploring in Quantum AI →

The proof, running daily

Live

The Daily Signal

A credible, no-hype daily AI briefing — what actually shipped at the frontier and why it matters, filtered for signal over announcement noise. Video and newsletter, produced end-to-end by the MyOwnAI pipeline itself: research, script, render and narration. The pitch is the product.

NEWNow in English · हिंदी · Español

Read the newsletter and hear the narrated audio in your language, starting with the September 25 edition.

Read The Daily Signal → How it’s built →
NEWJust launched · Interactive map + narrated tour

Temporal map: explore how the story changes

Follow a guided tour of The Daily Signal’s evolving archive. Move through time, compare coverage across Edge, Physical AI, Space and Quantum AI, and open the source passages behind a connection. Learn what to click, what to expect and how to explore for yourself.

Explore the Temporal map → Watch the 2-minute film ↗
Atlas teasers LinkedIn YouTube Instagram Threads TikTok

How it’s built

AI Content Engine | Customer-run harness

The Signal Engine

I built this harness to run The Daily Signal. It has evolved into a guided workspace for your own publication: describe the result you want, connect your agents, choose the sources you trust, and prepare a finished video and written edition. Review the exact work, publish to your chosen channels, then follow delivery, audience responses and recorded writing costs.

For executives

Start with a one-page use case. Your agents guide setup, source filters, your own voice and draft preparation. You make the final publishing and reply decisions in the browser.

For developers

Run and extend the MIT harness: shared agent tools, workspace permissions, replaceable adapters, job receipts and artifact-bound approvals. Keep your models, accounts and infrastructure.

Choose one agent or several in the same workspace
CodexClaude CodeCursorVS Code CopilotGemini CLIOpenCodeZ.AI / ZCodeHermesOpenClawDroidCopilot CLIGrok BuildPiGrok Bot · validation pending

Connections are verified with an actual tool call. Validation across every host and platform is ongoing; Grok Bot’s account connection is still unverified.

Free / MIT: connectors, launcher, basic voice and customer-run workflows Pro: premium workflow packs, guided setup, updates, monthly clinic and defined support Pro avatar production is configured behind the scenes Pro is proposed at $99/month; checkout is not open

You fund your agent subscriptions and model, media and infrastructure usage. There is no per-agent fee. The harness runs on your infrastructure; this is not a managed hosting service.

Watch the complete journey → Explore the 3D chain ↗ Book a demo
Live

The Daily Signal

A daily briefing on what actually shipped in AI — models, research and infrastructure, filtered for signal over announcement noise. See the channels ↓

In development

Transformer Atlas

An interactive map of the transformer model landscape — architectures, lineage and the design decisions that separate one family from the next. See the section teasers →

In development

Applied edge systems

Model compression, quantization and on-device inference work for latency-bound and disconnected environments.

See the work, from brief to follow-up

Three ways to meet your harness

Read the AI Content Engine soft-launch edition →

Follow Jordan through the complete journey, explore how the Signal Chain has evolved, or see what the offering includes for executives and developers. Each film has captions and a full-size player.

Jordan’s complete journey 8 min 13 sec

A fictional executive chooses multiple agents, filters the news, hears a local voice and sees finished videos with and without a presenter. The tour continues through review, publishing controls, analytics, audience follow-ups and costs.

Recorded in the working harness. Delivery, audience metrics, costs and replies are labelled training examples; no content was posted. The sample presenter is fictional and AI-generated. Avatar production is Pro.

Full-size player ↗Download MP4

The Signal Chain, evolved

A narrated 3D tour from the original newsroom pipeline to a configurable harness: your brief and agents, evidence checks, human decisions, delivery, feedback and costs.

Full-size player ↗Download MP4Download captions

One engine. Two ways to work.

Executives get a guided journey and visible decisions. Developers get tools and code they can extend. See the Free / MIT foundation, the proposed Pro offering and the next step for your use case.

Full-size player ↗Download MP4Download captions

News Journey — free and MIT licensed

NEW Just launched

One brief in.
A newsletter and a video out.

News Journey is the harness behind The Daily Signal, now yours to run. It works on your own computer, on your own sources, with the writing account you already pay for. Nothing reaches an audience until you have read it.

Claude Code and Codex plugins are available in the MyOwnAI GitHub marketplace. Install either plugin to use News Journey from your coding agent.

  1. SourcesFound for your topics and read. Only pages that actually load count.
  2. ClaimsEvery fact pinned to the source it came from, before a word is written.
  3. ScriptWritten once, then judged against those pinned claims.
  4. EditionThe accepted script formatted into the newsletter, each story carrying its own photograph or an authored diagram.
  5. Voice and videoNarrated, checked against the transcript, rendered on your machine.
  6. Your reviewThe preview opens. Publishing is a separate step you take.

In the free edition

  • Sources, story selection and the pinned claims behind them
  • A fact-checked script and the newsletter formatted from it
  • Story visuals: the source photograph, an authored diagram or an attributed card
  • Narration with a transcript check, then the rendered video
  • A private preview, then publishing to the channels you connect
  • The writers you already pay for: Claude, Codex, Antigravity, Grok
  • Plugins for Claude Code and Codex, and nine LinkedIn writing tasks

Runs on loopback, on your machine. Your sources, your keys, your files.

Pro adds, at $99 a month

  • Your brand, style and design across the newsletter and the video
  • Presenters and hosted voices, with recorded consent
  • Local models, OpenCode and API routes as writers
  • Publishing that approves itself once you have approved the first editions
  • Reactions and comments collected, replies drafted for your approval
  • Audience analytics and link attribution
  • Managed setup, clinics and support

Planned. No checkout ships in the free package, and opening the Pro options never turns them on.

Start it

git clone https://github.com/MYOWN-AI-LABS/news-journey.git
cd news-journey
node start.mjs

Node 22.13 or newer. The launcher installs what it needs and opens your workspace in your own browser.

Claude Code & Codex marketplace plugins

After setup, open a second terminal in your news-journey folder. Replace my-publication with your workspace ID:

export CONTENT_HARNESS_ROOT="$PWD"
export HARNESS_WORKSPACE="my-publication"

Claude Code

claude plugin marketplace add MYOWN-AI-LABS/news-journey
claude plugin install content-harness@content-harness

Codex

codex plugin marketplace add MYOWN-AI-LABS/news-journey
codex plugin add content-harness@content-harness

Install from our public GitHub marketplace, then start a new agent session and ask it to call harness_status. The plugin runs on your computer and prepares drafts for review. It cannot approve, publish or send.

Full installation guide, including Codex desktop
Open the repository Public, MIT licensed, and free to clone right now.

Bring your use case

Book a demo

Tell me what you want to create, who it is for and where you want to share it. We will walk through sources, your agents, voice, review and follow-ups using your needs as the starting point. A short description is enough. We’ll discuss pricing and estimate the hours you could save each week.

Watch Jordan’s complete journey →

Write instead

Pick a slot and the invitation is on its way; I confirm the call and send the video link by email. You can also write to saaket@myownailabs.com. Please leave API keys and confidential material out of the request.

Who we are

MyOwnAI LLC is a Florida-registered company founded in 2025, led by Saaket Varma, PhD.

Saaket has spent 16+ years building data and AI systems, most recently as a lead architect delivering agentic AI for U.S. federal customers — including an agentic platform for the U.S. Air Force built on AWS Bedrock and LangGraph inside AWS GovCloud. His earlier work spans regulated and public-sector delivery across health, financial-crime and environmental agencies.

He holds a PhD in Biochemistry from SUNY Buffalo. The research habit carries over: claims get verified against primary sources before they ship. Saaket on LinkedIn ↗

Business advisors. MyOwnAI is a solo-founder company, supported by three advisors:

Sanjeev Kumar

Sanjeev Kumar, PhD — AI & Data Analytics Leader at ConnectiveRx. Advanced analytics, real-world data and evidence (RWD/RWE), patient journey and healthcare professional (HCP) analytics. SQL, Python, SAS and GenAI, supporting Medical Affairs and Commercial Strategy. LinkedIn ↗

Anand Inani

Anand Inani — Vice President, Head of US Foundry and OSAT Sales and Business Development at Tata Electronics. He previously led sales and business development for Samsung Foundry, with deep experience across semiconductor sales, operations, account management, SOC design support, semiconductor process, product ramp and program management. LinkedIn ↗

Saurabh Gupta

Saurabh Gupta — Director, Customer Trust & GRC at Ivo, building and scaling enterprise-wide security, privacy and compliance programs. His work spans a customer-facing Trust Center, third-party risk management, security awareness and privacy training, SOC 2 and ISO 27001 certification, Cyber Essentials and a vulnerability disclosure program. LinkedIn ↗

Startup programs. MyOwnAI Labs is a member of the NVIDIA Inception program, and on September 10, 2026 we joined AWS Activate, Amazon Web Services' program for startups. Thank you to both teams for supporting early builders.

NVIDIA Inception Program member badge

© 2026 NVIDIA, the NVIDIA logo, and NVIDIA Inception are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries.

Introducing MyOwnAI · 55 sec

View the MyOwnAI pitch deck (PDF) ↗