cofounder & cto @farsight_ai @forbes 30u30 AI | @mit CS | ex @amazon, mit @medialab thoughts and views are my own
Manhattan, New York
Joined November 2022
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At @farsight_ai, we got tired of people explaining their workflows to AI - what they should look like, what they should include, how things are connected.
Today we’re launching Freeform to fix that: SOTA, simultaneous large-scale generation across PowerPoint, Excel, and Word.
Creating 100+ page slide decks, multi-sheet interconnected excel models, and robust and lengthy narrative documents from scratch is a thing of the past now.
With Freeform, you can input a single prompt, and our system rationalizes across all of your data to understand not only what information is needed to execute something, but also what set of materials and outputs are required to complete it end-to-end.
Freeform is already taking real, meaningful work off our customers’ plates. It understands how teams actually work, why they do things the way they do, and matches their way of doing things exactly. This is the first solution in finance that completely removes the mental burden of using AI, allowing it to do the work completely for you, exactly how you would do it.
This fundamentally changes how financial work gets done. Extremely proud of what the team has built here.
Comment “Freeform” to get a demo.
Noah Faro retweeted
Even the most regulated industries are going open-source 🤗
The AI question in financial services has moved from which model to use to where that model is allowed to run.
New post with @TangriKunal and @huggingface on why firms want to run models on their own infrastructure, and how governance gets them approved to run there.
Read it here: farsight-ai.com/news/open-mo…
Running a model on a bank’s own infrastructure requires answers to three questions: who can use it, from which network, and who changed what. If a bank isn’t thinking about those questions yet, it will be soon.
@TangriKunal wrote a piece with @huggingface on how banks can answer them and get on-prem deployments over the finish line. Link in the thread.
The AI question in financial services has moved from which model to use to where that model is allowed to run.
New post with @TangriKunal and @huggingface on why firms want to run models on their own infrastructure, and how governance gets them approved to run there.
Read it here: farsight-ai.com/news/open-mo…
Noah Faro retweeted
Yesterday, @OrnnExchange's B200 and B300 indexes reached a new all-time high prices, with the B200 hitting $8.54/GPU-hour.
It is clear that today's market is lacking GPU capacity, and that the companies building deploying capacity are looking to improve their credit. In the past trading week as the B200 rental price increased by 12.9%, $CRWV fell by 25.2%.
Why does $CRWV move inversely to rising compute prices as a neocloud? 98% of Coreweave's Q2 revenue came from committed contracts, 72% from three customers, and most of its $104B backlog is recognized after mid-2028.
CoreWeave's backlog is locked at fixed prices. These higher market rates matter for new contracts they sign, so the question is where rental rates end up when their contracts roll off.
Ornn's index tracks transacted prices in order to capture what buyers are actually willing to pay for on-demand GPU rentals, real signal for tracking the value of compute.
When people talk about running AI inside a bank, the conversation usually starts with what model. In practice, the first real decision is how to secure the compute to run it - @Farsight_AI's partnership with @OrnnExchange now makes this simple.
Ornn is the leader in financial markets for compute. With our partnership, banks can now source capacity through Ornn and run Farsight's model-agnostic solutions directly through it - all in their own environments on-premise. This brings the full stack to the firm, from the infrastructure to the work product that their teams rely on.
More + the press release in the thread below.
Compute capacity, especially over the past few years, has been difficult to procure and hard to price. Without getting access to it, most firms and teams default to running inference with the closed-source labs or hosted providers and inherit their pricing, capacity and product decisions as a result. With how fast AI is changing, more banks are realizing they can’t afford to hand those decisions to someone else.
Excited to work with @wayne_nelmz + @OrnnExchange, and see how it will impact financial institutions as they continue to adopt AI. Lots of amazing things coming very soon.
Off-the-shelf AI solutions don’t solve the needs of the biggest institutions because they don't understand their standards and way of doing things.
That is why @DeutscheBank is now running @farsight_ai on-premise across IB and capital markets in Europe and the Americas.
To be able to deliver things in the way they would’ve done them by hand (actually), there are a lot of things an AI system has to understand: it needs access to the right internal materials, it needs to account for different team standards, and it needs to make it easy for people to review and refine what the system produces.
To enable this access, most financial institutions require you to be inside the bank's own technology environment. DB is one of many that we are helping enable this level of ROI with on-premise AI.
We are all very excited! Links to our blog post discussing it and other coverage in the thread.
We are hiring a graphic designer / marketing designer here @farsight_ai. Comment your most creative graphic designs below with your portfolio and we'll reach out.
Ideally, NYC based (though not a requirement) and extremely creative. Been trying to find the right person for this for a while now
#hiring #startup #design #graphicdesign #job
Noah Faro retweeted
Startupland has made me realize how critical it is to be surrounded by relentless, win-at-all-cost, go getters. Otherwise, you risk being the 99%
if you work in ai, how long do you sleep? im trying to see smth
18%3-4 hrs
35%5-6 hrs
32%7-8 hrs
15%9-10 hrs
40 votes • Final results
This one's different from what we've done before, as most of our work so far has been directly with banks. @TresVista's teams switch between clients all day, and every client has their own templates and their own standard for what good looks like. So Farsight has to pick up each firm's decks, models and prior work, keep every engagement separate, and produce something that reads like that firm made it.
Back in May I posted about AI companies moving toward selling the work itself. TresVista already sells the work, and we get to make the people doing it a lot faster. Very excited for this partnership
Today we're announcing a multi-year partnership with @TresVista .
TresVista delivers CIMs, pitch materials and research to more than 400 clients worldwide, each with its own templates, standards and regulatory requirements. With Farsight's firm-native AI, its teams will build each deliverable from their own templates, models and prior examples, with every client's data securely managed and kept distinct.
"Farsight gives our teams an AI platform that can work with those nuances, helping us produce long-form, client-ready work for hundreds of firms around the world," said Sudeep Mishra, CEO of TresVista.
Read the full announcement: farsight-ai.com/news/tresvis…
Noah Faro retweeted
Today we're announcing a multi-year partnership with @TresVista .
TresVista delivers CIMs, pitch materials and research to more than 400 clients worldwide, each with its own templates, standards and regulatory requirements. With Farsight's firm-native AI, its teams will build each deliverable from their own templates, models and prior examples, with every client's data securely managed and kept distinct.
"Farsight gives our teams an AI platform that can work with those nuances, helping us produce long-form, client-ready work for hundreds of firms around the world," said Sudeep Mishra, CEO of TresVista.
Read the full announcement: farsight-ai.com/news/tresvis…
one of my favorite parts about running technical organizations in today’s world is that every non-technical person at the company uses coding agents to make POCs for their brilliant ideas themselves. they all have the confidence of rick rubin lol
now, instead of having a giant backlog of ideas or tasks for my engineering team, the product team can whip up prototypes and get feedback on them from customers in isolation, the sales team can do their own data analytics on logs and whip up their own dashboards for things they find useful, etc.
new sparks and innovations can be mocked up by anybody, and in turn my engineers can actually focus on building out robust and scalable tech - we move quick, validate quick, and innovate quick without costing engineering time