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Plainr
软件开发
Baltimore，Maryland 695 位关注者
Fueling AI-assisted analysis with accurate data, access, and high-quality models: from Private Markets - Mainstream
关于我们
We are a Techstars portfolio company helping teams extract intelligence from data quickly. From Private Markets to Mainstream, from internal dev teams to investment teams, we provide solutions that accelerate analysis speed and improve accuracy of AI- assisted analysis. Do smart work with Plainr
- 网站
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https://www.plainr.io
Plainr的外部链接
- 所属行业
- 软件开发
- 规模
- 2-10 人
- 总部
- Baltimore，Maryland
- 类型
- 私人持股
- 领域
- Fintech、Software、AI、Data Science、investment research、data和analytics
地点
Plainr员工
动态
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We are very excited to be recognised by Technical.ly as a rising startup in Baltimore. Read all about it from here https://lnkd.in/e5rCzqBw Thank you all for your support Sameer A. Doniel Wilson
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Thanks Elisabeth Bellevue for the shout out! Lydia Ofori, CFA, CAIA
In observance of Black History Month and the many contributions of the Black community in our evolving tech industry, Actual Agency is honored to share the Top Black-owned Tech Startups and Organizations to Watch in 2025! ? These tech leaders and entrepreneurs are innovating, shifting the culture, creating safe spaces for Black people in tech, and providing platforms that enhance and improve sectors ranging from healthcare to mental health, retail, and real estate to professional services, and more. Join us in honoring these start-ups and organizations that are making a difference in tech! Learn more about their founders and co-founders by reading our blog today: https://lnkd.in/ebJgAA-K #BlackHistoryMonth #B2BTech #Startups
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Read the imperfect illustration of why your response from a generalized large language model may be incorrect from here ??
We (Plainr) tend to focus on the downstream use cases of our technology and not so much what we are doing behind the scenes for the technology that runs our platform. Maybe we should. Maybe we shouldn't. Different people have different opinions. That said, this BBC article ?? prompted me to share this rather imperfect illustration ??♀?. Let me know what you think https://lnkd.in/ed5vaXyC Plainr #AI #Fintech
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Plainr转发了
???????????? ???? ???????? ???????????? – ?????? ?????????? ???? ???? ???? ?????????????????? ???????????????? ?? Key Insights from NVIDIA's Latest Survey: ? ???? ???????? ??????????????: Financial services firms are actively deploying AI, with significant increases in budget allocations for both internal and external applications. ? ???? ?????? ??????????: The survey aligns with trends we at Plainr observe, except for one notable exception - the use of AI chatbots within investment teams is waning. This suggests there's still work to be done in output-based programming and mastering AI prompting techniques. ? ?????? ???? ?????? ????????: Organizations leveraging AI are seeing a positive impact on their bottom line, with returns increasing while costs decrease. ? ?????????????????????? ??????????: There's a growing trend of engaging third-party experts to accelerate AI adoption, enhancing internal capabilities. ? ???????????????? ????????????????????: A spike in demand for specialized document processing tech, particularly tailored to this specific industry verticals, is evident. ???????? ???????? ???????? ???????? ?????? ??????? ???????? ??????????????????:?AI trends in finance can inform your strategy, especially in platforms like Plainr which focus on vertical-specific solutions. ???????? ?????????????????? ????????????????: Collaborating with companies like Plainr can keep you at the forefront of AI adoption. Full NVIDIA survey can be found here https://lnkd.in/eZksdfXH #AIinFinance #Fintech #NVIDIASurvey #Techtrends #Documentprocessing #infosynthesis #investmentresearch
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Plainr转发了
???????????????????? ???? ???? ?????????????? ??????????????: ???????????????? ?????? ???????? Happy New Year! ??As we're just 15 days into 2025, it's the perfect time to set our sights on strategic growth. BlackRock's 2025 Private Markets Outlook offers some compelling insights: ?? ????% ???????????? ???? ?????????????? ?????????????? ?????? expected over the next five years, highlighting a robust expansion in the sector. ?? ???? ???? ?? ???????? ??????????????: The report underscores AI's dual role as both an investment opportunity and a transformative tool for private equity teams. ?? ?????????????????? ???????? ????????????????: Anticipate a surge in investment with more M&A and IPOs, leading to significant exits and distributions. https://lnkd.in/eFPrVmDs In this dynamic market environment, where decisions must be made swiftly, the combination of ?????????? and ?????????????????????? ???????????????? becomes critical. ???? ??????'?? ???????? ???? ???????????????? ?????? ???????????? ?????? ?????????????????? ???????? ?????????? ???? ???????????? ?????? ???????????????? ???????????? ???? ????????, ???????????????? ???????? ???????? ?????????????? ?????? ??????????????. Plainr.io Plainr #PrivateMarkets #AI #PrivateEquity #MergersAndAcquisitions #DealFlow #AssetManagement #MarketOutlook #Fintech
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What a year it's been for Plainr! We're incredibly grateful to our investors, customers that lent their ear and those to add in the future, and the entire Plainr team for making it such a success. This year, we: - Graduated from the Spring 24 Techstars Accelerator, - Engaged with more customers than we had done previously, - Completed our first product launch which is unveiling in 2025 and - Won the TEDCO Pitch Competition at the TEDCO Expo '24 We're excited for what the future holds! Wishing you all a very Merry Christmas and a happy holiday season #innovation, #privateequity #privatemarkets #datamanagement #AI #naturallanguageanalysis #investmentmanagement #financialservices
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#Question of the Week! #data #AI #Automation
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Plainr转发了
Matt Turck Aman Kabeer spot on. Always love your discussions. Adding to the convo - in my discussions with customers in financial services, specifically investment management, my observations have been the following: - data is not a problem - they sit on volumes on proprietary data - ML for predictive analysis is not an issue. They've been using ML to build models for ages (albeit from Excel - yikes!). ML & LLM however is amiss - Issues are the AI tooling to help make data right is too generic, labelling and categorisation doesn't speak the lingo - Appending to your point above #crystalball moment - vertical products / platforms that understand the lingo are winning and will win - Consultants appear to be winning right now (as their specific knowledge of the problems in finance helps) but super expensive - what's one to do, eh? - On people training on how to use the solutions properly is required starting with chat prompting. but once people get going, usage is frequent and - On people + enterprise adoption, there's a lot of readjustment, reapplication of knowledge and learning new skills which are initially met with some resistance. Drop off is expected
Never a dull moment in AI. Current market summary: * Big, bigger, biggest: biggest VC round ever (OpenAI), biggest seed round (Safe SuperIntelligence, $1B), biggest acqui-hire (Character, $2.7B), biggest super computer (xAI's Colossus, etc) * Rich valuations all around: NVIDIA at 65 P/E (vs 20 average), several startups at multi-billion valuations pre-revenue (sometime pre-product). Can argue whether deserved or not, but lots of growth expectations built in * Fortunately, this generation of AI startups is growing faster than their SaaS cousins ever did (source: Stripe data) * Despite concerns about over-building of AI infra, Mag 7 companies in recent earnings all attest to very strong (or even "insane") levels of demand for AI. Numbers are comparatively small by Mag 7 standards, however. * Big question around continued progress of AI research/performance, or not. Concerning reports that GPT-5 may not show as much exponential progress as prior versions did. Question around reasoning for LLMs. Fuziness around what AGI and ASI actually mean. Optimistic view is that great products/companies can be built deploying what we currently have, even if progress slowed down dramatically * Foundation/frontier LLM market seems to have crystallized around a few early winners (unclear whether any can build long term differentation). Open question about the impact of Llama 4 and open source on commercial API providers. Plenty of room still for specialized LLMs, per modality (audio, video) or vertical (bio, materials sciences, etc) * AI tooling layer (orchestration, evaluation, RAG, etc) interesting, but crowded and fast evolving * AI consumer application layer wide open. Every paradigm shift saw the rise of dominant consumer companies. Who will build the Uber of Generative AI? * From a customer perspective, enterprise (Global 2000) adoption of AI is still very early: mostly low hanging fruit kind of use cases: chat (GPT/Azure), search (Glean), code (Github CoPilot), or easy to deploy applications (Synthesia for video). For anything more company-specific or industry specific: consultants are the big winners so far. Next: enterprises will go from PoC to production for custom use cases. * From a vendor perspective, AI (intelligence wrapper) is the new SaaS (database wrapper). Furious pace of building across use cases (AI for finance, sales, marketing, custome service, HR etc) and verticals (law, accounting, banking, etc). New business models ("sell the work" vs just selling software) * Brave new world ahead of us. In the enterprise, could mean AI agents connecting with each other to orchestrate tasks end-to-end. Tomorrow's enterprise could need a lot less people and jobs would evolve to managing a few humans and a lot of AI. LINKS TO PODCAST EPISODE (where I discuss all of this and more) IN FIRST COMMENT BELOW
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We are delighted to announce that Lydia Ofori, CFA, CAIA will be at the upcoming #SuperReturn North America Conference on Nov 12 and 13. Don't miss out on the opportunity to learn how Plainr can transform your investment firm. Connect with her before the conference to schedule a meeting and discover how our tools and solutions can: - Reduce data processing time by 80% - Improve AI model accuracy - Speed up AI-assisted analysis In addition to talking about the 'how' Lydia will also spend time to talk about the #outputs and #usecases that #privateequity managers are using Plainr for to gain a competitive edge in the market #SuperReturnNorthAmerica #InvestmentTech #AI #DataTransformation #Analysis #portfoliomonitoring
I'll be at the #SuperReturn North America Conference on Nov 12 and 13. Don't miss out on the opportunity to learn how Plainr can transform your investment firm. Connect with me before the conference to schedule a meeting and discover how our tools and solutions can: - Reduce data processing time by 80% - Improve AI model accuracy - Speed up AI-assisted analysis Let's discuss how Plainr can help your firm gain a competitive edge. #SuperReturnNorthAmerica #InvestmentTech #AI #DataTransformation #Analysis
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