SpaceX is pitching its planned public listing as a bet on artificial intelligence as much as rockets, telling prospective investors that AI services could open a $26.5 trillion market opportunity and transform the company from a launch-and-satellite operator into a global computing platform. The shift marks a striking turn for Elon Musk’s space company as it prepares for what could become the largest stock-market debut on record. […]
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Claude has overtaken ChatGPT in paid adoption among US businesses for the first time, marking a shift in the enterprise artificial intelligence market as companies move beyond experimentation and begin choosing tools for daily operations. Payments data covering more than 50,000 businesses showed Anthropic’s Claude products used by 34.4 per cent of firms in April, ahead of OpenAI’s ChatGPT and related services at 32.3 per cent. Overall […]
A Bitcoin holder’s claim that Anthropic’s Claude helped unlock a college-era wallet containing 5 BTC has stirred fresh debate over artificial intelligence, digital forensics and the vast store of cryptocurrency believed to be stranded behind forgotten passwords. The pseudonymous user, posting on X, said access was regained after more than a decade of failed attempts to recover an old wallet created during college years. At current market […]
Microsoft Edge, Windows 11 and AI infrastructure tools were breached on the opening day of Pwn2Own Berlin 2026, underscoring how quickly security researchers are finding weaknesses across browsers, operating systems and enterprise artificial intelligence platforms. The contest, staged alongside OffensiveCon in Berlin on 14 May, produced 24 unique zero-day vulnerabilities and $523,000 in rewards on its first day. The results placed DEVCORE at the top of the […]
TORONTO, CANADA/HONG KONG SAR – Media OutReach Newswire – 15 May 2026 – Hong Kong and Toronto-headquartered enterprise AI company Votee AI, together with its Toronto-based research lab Beever AI, today open-sourced Beever Atlas — an LLM Knowledge Base shipping in two editions: an Apache 2.0 Open Source Edition for individuals, and an Enterprise Edition for teams (banks, government agencies, and large organizations with high-security requirements). Beever Atlas automatically transforms personal and team chat across Telegram, Discord, Mattermost, Microsoft Teams, and Slack into a structured Neo4j knowledge graph, auto-generated wiki, and MCP-ready memory layer for any AI assistant.
Votee AI (Votee Limited) is headquartered in Hong Kong and Toronto, with operations across Asia. Beever AI is its dedicated AI research lab based in Toronto.
Answering a Viral Call from the AI Industry
Andrej Karpathy — OpenAI founding member and former director of AI at Tesla — shared a viral post on X about “LLM Knowledge Bases” that drew tens of millions of impressions. Karpathy’s core argument: LLMs need structured, evolving knowledge — not just raw context windows or vector similarity search. He concluded with a direct call to the industry:
“I think there is room here for an incredible new product instead of a hacky collection of scripts.”
Beever Atlas is that product — built first for teams, with an Open Source edition for individuals.
Karpathy’s prototype starts with curated file ingestion, relies on Obsidian and an LLM coding agent (Claude Code / Codex), and is single-user and largely manual. Beever Atlas takes a fundamentally different starting point: team chat. Because the bulk of organizational knowledge lives — and dies — in the unstructured conversations inside Telegram, Discord, Mattermost, Microsoft Teams, and Slack.
“Hong Kong has always been known for property and finance,” said Pak-Sun Ting, Co-Founder and CEO of Votee AI. “Beever Atlas is proof that world-class AI infrastructure can emerge from an HK-headquartered company and be shared openly with the world. Every growing organization faces the same silent liability: conversational knowledge loss. Beever Atlas turns this perishable resource into a compounding organizational asset.”
Key Differences from Karpathy’s Local Approach
Beever Atlas extends the LLM Knowledge Base pattern in six fundamental ways:
OpenClaw and Hermes Agent Integration — Upcoming Feature for the Open-Source Edition
Beever Atlas will ship a dedicated update in Q2 2026 for OpenClaw and Hermes Agent. The integration lets both tools read and write to a user’s Beever Atlas memory layer natively — making it among the first MCP-native knowledge backends purpose-tuned for these workflows. Solo developers and small teams will be able to point either tool at a personal or shared Beever Atlas instance and have it cite, retrieve, and chain across the entire conversational memory.
The Technical Bet: Structure Beats Similarity
“The key technical decision was to treat agent memory as a knowledge engineering problem, not a retrieval problem. Structure beats similarity — a typed graph of who works on what is more useful to an AI than vector search over a Slack archive,”
– Jacky Chan, Co-Founder and CTO of Votee AI (developer of the first fully pre-trained open-source Cantonese LLM)
Beever Atlas ships with a native MCP server, letting AWS Kiro, Qwen Code, Cursor, or any AI assistant query team knowledge directly — making it the memory layer that every downstream AI agent has been missing.
Built for Sovereignty — 100% On-Premise, Bring Your Own LLM
Beever Atlas runs entirely in customer environments as a Docker stack. Zero telemetry. AES-256-GCM encryption at rest. Private channels are filtered by default. Teams bring their own LLM via LiteLLM — running locally through Ollama (Gemma, Qwen, Llama) or via 100+ supported cloud providers. Built for teams where organizational knowledge is too sensitive for third-party cloud.
Two Editions: Open Source for Individuals, Enterprise for Teams
Beever Atlas ships in two editions:
1. Permission Mirroring — The “Don’t Leak Secrets” Feature
Most AI tools struggle with permissions. If an AI reads a private HR channel and a junior employee asks a question, the AI might accidentally reveal private salary information.
Beever Atlas closes this gap.
2. Identity & Multi-Tenancy — The “IT Setup” Feature
About how users log in and how data is separated.
3. Audit & Compliance — The “Legal/Regulator” Feature
Large organizations need to prove what happened if something goes wrong.
4. Trust & Safety — The “Anti-Hacker” Feature
Protects the AI from being manipulated.
5. Managed Cloud + Federation — The “Deployment” Feature
Where the software physically runs and what it connects to.
Part of Votee AI’s Sovereign AI Infrastructure
Beever Atlas is part of Votee AI’s broader Sovereign AI infrastructure. Votee AI delivered the first fully pre-trained open-source Cantonese LLM, published the first Cantonese LLM benchmark, HKCanto-Eval, at ACL 2025 CoNLL, and in 2025 successfully validated its platform through the Hong Kong Monetary Authority’s FSS 3.1 Pilot programme.
Turn the Team’s Chat Into a Living Wiki
Beever Atlas is available immediately at github.com/Beever-AI/beever-atlas under the Apache 2.0 license. A managed cloud version is planned for H2 2026.
Availability
– LinkedIn: https://www.linkedin.com/company/beever-ai
– X: https://x.com/Beever_AI
– Instagram: https://www.instagram.com/beever_ai
– Medium: https://medium.com/@beeverai
– dev.to: https://dev.to/beeverai
– Substack: https://substack.com/@beeverai
– Discord: https://discord.gg/unuPZrrE
Shipped by the Whole Team
Hashtag: #VoteeAI
https://votee.ai/
https://www.linkedin.com/company/votee
https://x.com/votee_ai
https://www.instagram.com/votee_aihttps://www.threads.com/@votee_aihttps://substack.com/@voteeai
The issuer is solely responsible for the content of this announcement.
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