@forumventures
Account based inCanada
About this account
- Account based in
- Canada
- Connected via
- Web
Account-level information from X, not a live location or the device used for a specific post.
We make the B2B startup journey easier for early-stage founders. Writing 75+ checks this year to trailblazing early stage B2B SaaS founders.
SF, NYC and Toronto (+remote)
Joined April 2012
- Tweets2.2K
- Following3.9K
- Followers6.6K
- Likes3.5K
Forum Ventures retweeted
You already gave the LLM the answer. So why is it writing it out from scratch?
Introducing a new AI model architecture: Constrained Decoding Models (CDMs)
LLMs were built to write. Most production workloads just need an answer: fast, consistent, and affordable.
CDMs are purpose-built for 1 task each. They read your input once and skip the token-by-token generative loop that makes LLMs slow and expensive.
Not just a decision model, but a family of 3 CDMs live today:
• Classify: define your labels and get back a calibrated probability + reason for each. Used for routing, tagging, and intent detection.
• Extract: describe the entities in natural language and get back well-formed JSON with confidence scores + citations. Used for web scraping, document processing, and PII redaction.
• Summarize: pass in long text, images, or PDFs and get back a consistent summary under 1,000 tokens. Used for context compaction, metadata generation, and transcript digests.
Built for production:
• 1M tokens of multimodal (text + image) input, 31x larger than Jev
• 77.2% on DecisionBench vs Jev's 72%
• 200x faster, 467x cheaper than frontier LLM APIs
• $0.05/M input tokens. Output is free (yes, even for summarize)
Live on your favorite platforms today:
@OpenRouter @vercel_dev @LiteLLM @LangChain @TrustedRouter @itsArthurAI @useRouterPlus
Get 50M input tokens for free (for the first 50 hours) at link below 👀
🤖 Made with AI
The thing that actually predicts a fast raise is easier than you think. Build the list first and then create the deck second.
Curious about the Forum Ventures accelerator program? Join us LIVE this Wednesday at 4pm ET / 1pm PT for an AMA with our Head of Platform Leandra Elberger.
Register here -- luma.com/yih5qaen
1,010 pitch decks. 7 wired SAFEs. Here's what one month on the other side of the table looks like at Forum.
Heading to #SFTechWeek? Join Forum for breakfast on Tue, Oct 6 with early-stage B2B founders and the investors backing them. Sponsored by @PunchFinancial a @qapita company.
Preseed to Series A founders & active investors, apply here: partiful.com/e/AzPMtirziyzO9…
The 2 hiring mistakes I watch founders make on their first employees: guessing at the role instead of scoping it, and chasing big logos over people who can build zero to one.
Every founder pitching me right now is obsessed with being AI native. What I actually check for is defensibility, the data, integrations, and distribution nobody else can copy.
Everyone is pointed at the same handful of categories right now. The thing I think the market is sleeping on is the offline economy.
Ranking pitch deck slides by how much investors actually read them, including the two everyone over-builds.
For the technical founders losing rounds to worse products. The problem is usually the first sentence.