Austin, TX – April 15, 2026 – PM33 is launching this week at SaaStock USA 2026 in Austin, Texas, on April 15-16, opening public access to the platform following a closed beta period. The company is scheduled to pitch PM33 before 17 venture capital judges as it looks to tap growing enterprise demand for AI tools that can help guide business decisions, not just automate technical work.
As generative AI speeds up software development, PM33 is targeting a gap many product teams still face: deciding what should be built and why it matters. The company says product leaders continue to spend significant time on manual strategy work – 19 hours writing requirements and another 12 hours communicating roadmaps – even as AI tools become more common across engineering teams.
PM33 connects with existing systems, including Jira, Linear, Asana, GitHub, and Notion, giving AI agents structured access to product context such as sprint capacity, strategic objectives, and competitive inputs. The goal, according to Saper, is to help teams make product decisions that are not only faster but better aligned with business priorities.
“Every product leader I talk to has the same problem: their AI tools can build anything, but nobody can tell them what is worth building,” said Steve Saper, the CEO and Founder. “That gap is where companies lose millions. PM33 closes it.”
The platform includes AI sprint planning, automated product requirements document generation, what-if scenario modeling, and competitive analysis. It is built on Model Context Protocol (MCP), an open standard that gives AI agents structured access to project data. This foundation is intended to give AI systems enough context to contribute earlier in the product process, helping teams evaluate priorities and timing instead of only accelerating delivery once decisions have already been made.
“We built PM33 because we spent 15 years watching the same pattern inside Fortune 500 companies: brilliant strategy on slide 12, a backlog that does not match on sprint day. AI does not fix that unless it can see both sides. Now it can.”
PM33 is launching as companies push to get more value from AI investments by applying the technology to product planning, prioritization, and execution. With the public launch, the company is expanding access to teams that want to use AI across the full product lifecycle, from strategy through delivery.
Pricing for PM33 starts at $29 per user per month and includes a 14-day free trial with no credit card required. More information is available at https://pm-33.com.
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Company Name: PM33
Contact Person: Mark Archer
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Country: United States
Website: https://pm-33.com
