I built an agent that I email that scores a deck and any additional materials I provide in the email and does a deeper dive on the team, market, competition, risks, notable exits, etc. it’s good. But honestly it only saves time when doing the memo. So writing the full memo is actually more helpful…and maybe a diligence checklist that auto checks when you add the information into a folder.

An AI tool that analyses my fund’s thesis, generates the ideal LP archetype, and then scans my personal and wider LinkedIn network to identify high-probability matches, proposing intro paths and relevance scores. Essentially, automated LP archetype identification and network-based LP discovery in one system.

Thanks in advance!

An AI agent to analyze the potential investors details, provide various lists, according to specific quarries. 
Also: reminders to follow up on the various emails to potential investors, per content and/or manually set schedules. 
Also: seek to recommend warm introduces per LinkedIn connections & my personal contact list

More robust data pipelines related to opportunities and investors with an actionable agent. For example, each opportunity will not only have the data room, but there will be an online pitch (with associated video, transcript and summary.) There will be email correspondence that might have relevant q&a and negotiation. This data consolidated with the Hub data on the opportunity might then, with an agent attached, suggest action items and draft an email for follow up call or a response to a deal item, and perhaps even schedule the call. 
Same on the LP side, aggregate into the system the calls and emails and suggest action items, including maybe questions raised by an LP that would call for developing slides or some responsive material to help close the investment. 

AI Toolkit that fundraises for my 506(c) Start Fund.

It pulls ALL my contacts from every social platform (phone contacts included) and based on my thesis automatically generates an email sequence with follow-ups ready to send in seconds. And I mean seconds.

The sequence should include my Google Calendar link.

The goal is simple: fill the top of the funnel and guarantee me 3-5 calls / day so I can sign at least 1 PACT / day.

If I fall behind on my daily calls, the tool should send me a quick note to LMK and suggest ways to get back on track.

As we use Decile Hub more as a portfolio / investor management tool than as a fund platform, manage my 100+ deal portfolio (allow founders to directly update) and create the matches with the already imported investor contacts (and suggest additional imports from social media) / prepare indvidualized (same core (adjustable) / varied individual snippet (adjustable)) sendouts to the matches. Could obviously also work in the fund context to send individualized portfolio updates to LPs.

(1) Better AI-driven filtering: current AI filter 1-5 star rating (on email ingestion etc) is nice but not robust. Give me a real scan of thesis relevancy and deal quality based on my pre-set criteria for every deal I add into Hub. Auto-reject deals totally irrelevant to my firm. Make my filtering workflow easy when I have to go from 100 to 20 at a first/second scan. From @Varun Turlapati via a conversation with Chaanakya's resident. @Pankaj Jain has made his own system here.

(2) AI-assisted diligence: several aspects here. From: @Monisha Perkash and @Jon Beekman and @Cristian Guardia
 2a: link my AI meeting notetaker to Hub, notes from founder calls immediately transformed into Decile Hub data per deal, towards creating a diligence memo and/or activating filtering steps -- save me from drowning in the admin work of taking dozens of founder calls then noting it in a CRM.
2b: AI evaluation and suggested questions / diligence checklists, based on my pre-set criteria and info provided, and followup Q's
2c: collaborative, team members can take own notes, AI makes recommendations based on team evaluations

(3) AI-driven portfolio management: AI-assisted portfolio followup tool scrapes the web for updates (and markups), suggests newsletter items to report to LPs, logs all contact with a founder and reminds me to get in touch if I've been out of touch. Specifically, LP quarterly updates requested by @Pablos Holman and @Joyce-Ann Wainaina / Chui team. @Brian Bell has made his own system here.

@Connor Sattely yes, #3 is very close to what I had in mind with my comment. It should also allow founders to update their startup profiles (possibly with commits) and a startup profile should be shareable between multiple funds on Decile and with pitchbook, dealroom and the likes...

@Connor Sattely  yes to #2. Also, loving the AI deal memo generator, however if I´m uploading info and files through the inquiry form, then all that info should be used as well. Right now i need to download it and then re upload it. Have an evolving deal memo as you upload files, notes and data from the analysis process, so that it can also highlight any missing info.

DealScout Copilot: an AI-driven deal-flow assistant that continuously scans, aggregates and curates startup signals across the entire GCC/etc, nonstop; from public registries, accelerator pipelines, event lineups, news feeds and social data, like rss. Then filters, scores and surfaces the highest-potential opportunities tailored to a VC’s investment thesis. Sniffing social media & variety of data feeds. It transforms fragmented, noisy market activity into a clean, prioritized “deal inbox,” helping VCs stay ahead of the curve with minimal effort and maximum reach. Eventually, rank deals in a queue for a person to look at.

-- AND --
if it matches my specific criteria, or something time sensitive, the agent calls me (on whatsapp?) and provide the details. @Adeo Ressi  

An advisor-agent that can guide me to the right, trustworthy experts (inside Decile Group and externally) at each stage of the fund, from start to growth to maturity. I want to be able to say, “I’m at this stage” or “I want to do this,” and have the agent tell me what I should focus on next, which KPIs matter, best practices, and which tasks I could potentially handle myself versus which ones I should use lean resources or advisors for becasue of the risk, along with the associated fees 

Hi  @Connor Sattely btw, my resident is  @Dhruv Mehrotra and yeah we're developing a rating system that fits our funnel and needs. Perhaps the feature there is to try to make the rating system configurable so the AI rates it but also explains it.

AI-assisted due diligence (or deal memo even) is a no-go for us, as we got incorrect info because it looks like there is scraping from websites and founds could make claims that are untrue. In MedTech this will add to a lot of noise.

With seasoned Venture Capitalist in the loop, an AI- Agent that alerts on deviations, DD on deal pipelines and Prospective LPs.  Evaluates the NPV ( Net Present Value ) of deals, identify early unicorns. Kudos to Adeo, Travis, Woody and the Team for the innovative Decile Hub!.