Observed Signal · Sep 27, 2024 · Funding · Source: Tech.eu · Impact: 2/5 · Sentiment: Positive
Convergence secures $12M Pre-Seed for personalized AI agent
Convergence, a personal AI startup founded in April 2024 by Marvin Purtorab and Andy Toulis, has raised $12 million in Pre-Seed funding. The company develops Proxy, a personalized AI agent that learns tasks and workflows to automate administrative and repetitive work, and can be tailored for both professionals and consumers. Proxy distinguishes itself through large meta-learning models (LMLM) that enable continual learning and long-term memory, allowing it to acquire new skills across domains. The funding round was led by Balderton Capital, with participation from Salesforce Ventures and Shopify Ventures. The team, which includes specialists from Google DeepMind, Meta, and PolyAI, will use the funds to develop models powering Proxy. Proxy launches in beta today with limited spots.
Funding round for an AI agent startup indicates continued investment in agentic AI, relevant to future marketing automation and business efficiency.
Track Balderton Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Convergence raised $12 million in Pre-Seed funding.
- Funding led by Balderton Capital with Salesforce Ventures and Shopify Ventures participating.
- Company founded in April 2024 by Marvin Purtorab and Andy Toulis.
- Proxy, a personalized AI agent, launches in beta.
- Proxy uses large meta-learning models (LMLM) for continual learning.
Connected Companies & Entities
7 Entities mapped“Balderton Capital led the funding...”
“which also included Salesforce Ventures and Shopify Ventures....”
“Marvin and Andy met at Shopify while working on recommender systems and AI assistants...”
“they have brought together a team of specialists from companies including Google DeepMind, Meta, and PolyAI....”
“before joining Cohere, the AI platform for enterprises....”
“they have brought together a team of specialists from companies including Google DeepMind, Meta, and PolyAI....”
“they have brought together a team of specialists from companies including Google DeepMind, Meta, and PolyAI....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Leaderboard Arena Raises $200M at $3.1B Valuation
Arena, the AI leaderboard platform that originated as a UC Berkeley research project, has raised a $200 million Series B round at a $3.1 billion valuation. The round was led by Lightspeed Venture Partners and Khosla Ventures, with participation from Salesforce Ventures, 01 Advisors, Dell Technologies Capital, Endeavor Catalyst, a16z, Felicis, and others. This follows the company's announcement in June that it reached $100 million in annualized run-rate revenue. Arena provides a crowdsourced platform where users rate AI model outputs, and it has introduced a commercial product called AI Evaluations to offer detailed performance analytics. The company has also added a new 'alignment' category to its leaderboard, ranking models on issues like unauthorized actions and deceptive completion. Arena's valuation has nearly doubled in about 10 months, from $1.7 billion post-money in January to $3.1 billion now.
Google launches unified agentic AI for Gemini
At a Google Cloud event on Thursday, Google announced it is bringing agentic AI to its Gemini assistant, launching a unified agent that can autonomously plan and execute tasks on behalf of users. Aimed initially at businesses, the agent can connect to internal systems and external tools, use custom skills, and even choose from third-party models like Anthropic's Claude. It will have its own Workspace account with an email address, and will write its own audit trail. Early testers include On, Shopify, and PayPal. Gemini has over 1 billion monthly active users, and nearly 90% of Fortune 100 companies use Gemini Enterprise.
Meta, Walmart, Sierra launch personal agent protocol
Meta and Sierra, led by chairman Bret Taylor, have announced the Personal Agent Protocol (PAP) for AI-agent interactions with businesses, with initial partners including Walmart, Shopify, Stripe, Genesys, Rocket, and Instinct. PAP defines three access levels (guest, read-only, and write access) built on OAuth and places businesses in charge of vouching for consumer AI agents, differentiating it from rival designs by Visa, Mastercard, and AI platforms. The protocol aims to control customer data and liability in agentic commerce, with future implications for agentic payments. However, PAP is still in early stages: no specification, license, or governing body exists, and payments are not yet supported. Version 0.1 is expected this month, with payments and fine-grained permissions planned later. Notably, Amazon, Google, and OpenAI are absent, reflecting Meta's competitive positioning, especially after Amazon blocked Meta's Muse agent. The protocol competes with OpenAI's Agentic Commerce Protocol and Google's Universal Commerce Protocol.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.