Matthieu Hafemeister
@matt_haf • 5,135 subscribers
Co-Founder @Concourse_ai | The AI agent platform for finance
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Excited to share that Concourse has raised a $12M Series A led by Standard Capital with participation from a16z, CRV, and Y Combinator to fundamentally change how finance teams work with AI agents. Concourse builds AI agents specifically for finance teams. Instead of spending 75% of their time on manual work, teams who use Concourse now produce 6x more analysis and create presentations in minutes. Over the last 12 months we’ve grown revenue by 19x, customer logs by 13x, and are now deployed inside large enterprises like Front, Tecovas, and Palo Alto Networks. Alongside our fundraise, today we’re making Concourse available generally so teams of all sizes can connect their data and start using Concourse AI agents in minutes.
Matthieu Hafemeister2,043,944 просмотров • 7 месяцев назад
The hardest part of building finance agents is knowing when it's right and when it's wrong. And my guess from seeing thousands of vibe coded agents (if we can call them that?) is that it's somewhere in the 30% range today. Ensuring accuracy within AI workflows is key for finance. And most of it comes down to separating deterministic from probabilistic work. Combining LLMs with code. Once a workflow has been validated, the repeatable steps get parameterized and frozen so they run identically every time. The non-deterministic reasoning stays confined to the narrow set of tasks it actually handles well. Some work falls outside both categories, because the answer isn't in the data at all. That's what Concourse's agent context layer is for. It sits across the systems where the reasoning actually lives, email, SharePoint, Slack, Drive, the ERP, and reads the memos and threads alongside the numbers, so an agent works from what your team has already decided. When two sources conflict, the agent stops and routes the question to whoever owns the call, waits for the answer, then documents the exception and applies it the same way until the policy changes. Every correction lands in the context layer as a new version, auditable of who decided & when. Where does your team's judgment live right now? My guess is somebody's inbox. What about your agents's judgement? My guess is you've outsourced it entirely to an LLM. Making AI work in production is complex especially for finance teams!
Matthieu Hafemeister169,674 просмотров • 28 дней назад
I'm excited to introduce Concourse: the first AI Analyst for corporate finance teams Concourse works with finance teams to assist in day-to-day operations by taking on the most time consuming & manual work We’re also announcing our $4.7M Seed round co-led by a16z and CRV with participation from BoxGroup and Y Combinator in addition to angels and operators at leading companies like deel, Brex , Rippling, and more Check out Concourse below:
Matthieu Hafemeister230,779 просмотров • 1 год назад
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