# FlyMy for Investment Teams > Twenty-three agent workflows for investment teams, including six Akta company-intelligence workflows for deal sourcing, growth checks, investment memos, competitive research, customer reviews and founder outreach. Page: https://flymy.ai/vc/ The agent cloud for investment teams # The boring half of the job, done overnight. Twenty-three agent workflows for the analyst desk - find companies with Akta, check their growth signals, prepare an investment memo, or work through the term-sheet maths. Pick a workflow and make it yours. [Run a live agent →](https://app.flymy.ai/) [Book a call](https://calendly.com/dima-flymy/30min) Analyst workflows 23, ready to start Usage Pay for models and tools FlyMy ### All your tools, connected by one agent. Use case Watch your companies overnight - ping Slack only when something real happens. Plans live. Picks the best model. Retries on failure. Adapts mid-run. ## Twenty-three ways to put an agent to work. Start with six company-intelligence workflows powered by Akta, then explore portfolio, term-sheet and fund analysis. Each card opens a ready-to-edit task with the tools it needs. Review the prompt, connect your accounts and run it. AK → TV → #### Find the Next Deal Try now → Turn a thesis into a shortlist of private companies. See what each one builds, why it fits, and which facts still need checking. Keep the rejects and their reasons. Thesis → shortlist Company, fit, confidence and source - ready for your next sourcing meeting. Link: https://app.flymy.ai/?landing-example=118 AK → → #### Growth Reality Check Try now → Compare Cursor, Replit and Lovable across team growth, open roles and estimated traffic. Find the signals that agree, the ones that conflict, and the gaps in the data. Hiring × traffic Dated observations and formula-based changes. Provider estimates stay labelled. Link: https://app.flymy.ai/?landing-example=119 AK → TV → MEMO #### First-Pass Investment Memo Try now → Go from a company name to a concise investment memo: product, buyer, recent developments, risks and the questions worth asking the founders. Every material claim has an evidence trail. Ready for the first meeting What we know, what we infer, and what still needs diligence. Link: https://app.flymy.ai/?landing-example=120 AK → TV → #### Map the Competitive Set Try now → Put Linear, ClickUp, Notion and Plane side by side: who buys, what they get and what it costs. Turn differences into positioning hypotheses you can test. Buyer. Product. Price. Comparable inputs, dated sources and a clear view of what remains unknown. Link: https://app.flymy.ai/?landing-example=121 AK → → #### Customer Friction Radar Try now → Read product reviews for recurring customer pain. Group complaints, count the evidence and keep positive counter-examples alongside it - with questions to test in customer calls. Behind the star rating Review themes, sources and sample size. No invented churn or market-wide percentages. Link: https://app.flymy.ai/?landing-example=122 AK → TV → DRAFT #### Find a Reason to Reach Out Try now → Find a real product, partnership or hiring signal at a company on your watchlist. Turn it into one specific founder question and a short outreach draft for your review. A timely first conversation A verified trigger and a source-linked opener. The draft stays in chat. Link: https://app.flymy.ai/?landing-example=123 TV → → #### Portfolio Watch Try now → Checks your watchlist for dated news and prepares a digest to review. Start with one run, then choose a Slack destination and schedule when you're ready. This morning · 14 companies 1 UPDATE RM Ramp · raised Series D news LN Linear · nothing today quiet FG Figma · nothing today quiet Link: https://app.flymy.ai/?landing-example=101 TV → → I/O → #### Thesis Fit Scorer Try now → Hand it a company and your thesis, get back a score out of ten, how sure it is, and the sources it used. The same agent runs once or a hundred times side by side - one call per company. thesis · AI infra · seed 3 co. Scored against your thesis · sources cited Xpander 9/10 Cohere 6/10 Databricks 2/10 → only Xpander fits a seed cheque Link: https://app.flymy.ai/?landing-example=102 #### Registry Sweep Try now → Streams one part of the UK company register and finds companies incorporated this year in your space - R&D code and university-city postcode. SCAN UK company register 850,000 "3 companies incorporated this year match your space." R&D code · university town · streamed, not loaded Link: https://app.flymy.ai/?landing-example=103 #### Term Sheet Compare Try now → Two offers on the table. It works out what each one pays you at every exit size, and hands you a spreadsheet you can keep editing. $8.3M What the participating term quietly takes off the founders at a $400M exit. Link: https://app.flymy.ai/?landing-example=104 → REG → #### Scientist or Corporate? Try now → When you scout founders from research papers, corporate labs sneak in - nothing in the word "Fujitsu" says company. This checks the official registry instead of guessing from the name. 10 affiliations Each answer backed by an ID you can look up yourself. Link: https://app.flymy.ai/?landing-example=105 #### Pro-Rata Maths Try now → You own 12%, two rounds are coming. It shows where you end up if you sit them out, and what holding your share costs in each one. Dilution + cash Compare both rounds under explicit option-pool assumptions. Link: https://app.flymy.ai/?landing-example=106 #### Fund Numbers Try now → Your TVPI, DPI and IRR - plus the question nobody enjoys: what happens to them if your best company goes to zero. Fund I · example inputs EXAMPLE TVPI 2.29× 87 / 38 DPI 0.32× 12 / 38 IRR XIRR dated cash flows Largest position to zero → TVPI 1.74× Link: https://app.flymy.ai/?landing-example=107 TV → → #### Deal Digest Try now → Finds the week's rounds in your sector and checks each against your thesis. Includes rejects and a Slack-ready draft for your review. This week · your sector 7 rounds FITS Seed · agent infra · $4M 1 NEAR Series A · devtools · flagged PASS Seed · fintech · out of thesis Link: https://app.flymy.ai/?landing-example=108 #### Sector News Sweep Try now → Searches public news with Tavily, groups dated events in code, and links each finding to its source. Weak or ambiguous reports stay labelled. Legal AI · last 90 days PREVIEW Funding · dates, amounts and sources M&A · announced or completed Product · launches and partnerships Coverage · weak and missing evidence Link: https://app.flymy.ai/?landing-example=109 HS → → #### CRM Audit Try now → Reads every company in your CRM and tells you what's wrong with the data - the same firm entered twice, records with no website, records that are just a name. It proposes; it never edits anything. 34 records 5 · thin data 5 of 34 companies hold nothing but a domain AI · proposes, never edits 4 of the 5 were edited ~1 minute after they were created - a script or an import, not a person. Merge candidates flagged. Link: https://app.flymy.ai/?landing-example=110 #### Meeting Follow-ups Try now → Reads your calendar, decides which meetings actually need a follow-up, and leaves the drafts waiting in Gmail. Draft · waiting for you × To founder@vertexlabs.io Subject Great to meet you - next steps Thanks for the time today. A few follow-ups from what we discussed… Link: https://app.flymy.ai/?landing-example=111 #### What It Costs Try now → Before you automate anything: what does a thousand runs a month actually cost? Priced on real published rates, not a guess. 1,000 runs Compare models with current published rates and editable usage assumptions. Link: https://app.flymy.ai/?landing-example=112 TV → #### Market Map Try now → Who's in this market, how good their data is, what they charge - and who won't put a price on their website at all. Depth. Access. Price. Explore a possible gap in the vendors checked, with evidence that could disprove it. Link: https://app.flymy.ai/?landing-example=113 TV → → #### Data Vendor Check Try now → What three company-data vendors would cost you at a thousand lookups a month - and, more importantly, which fields each one actually gives you. Price per lookup Published prices, request limits and unknowns, with sources for each. Link: https://app.flymy.ai/?landing-example=114 #### SAFE Conversion Try now → Three convertible notes turning into shares at the next round. Who got the better deal, and what the founders are left holding. Cap vs discount Conversion prices and ownership, with the SAFE assumptions shown. Link: https://app.flymy.ai/?landing-example=115 #### Runway Check Try now → Every company in the portfolio on one screen, sorted by who runs out of money first. Profitable ones are marked as such, not given a made-up date. 0.55 months Runway for the one at the top of the list. You'd want to know that on Monday. Link: https://app.flymy.ai/?landing-example=116 #### Founder Scoring Try now → Scores early-career researchers as founder material - career stage, grants, who they publish with. The score is calculated, not an opinion. Same score tomorrow Because code does the arithmetic and every part of the score is shown. Link: https://app.flymy.ai/?landing-example=117 #### Have a job of your own? Describe it in plain text, run it, and review the result. Save the workflow when it does the job you need. Build yours → Link: https://app.flymy.ai/#operations ## Not a demo. Infrastructure. Every agent can become a real function on a real compute server - typed inputs, typed outputs, frozen and callable. Point it at one name or a hundred. ### A compute server per run Every run gets a real sandbox with Python, memory, and a filesystem - not a prompt pretending to compute. It streamed 850,000 registry rows in one run, the whole process under 40 MB of memory. real python, isolated, stateful ### Typed, frozen, callable Fixed input and output shapes mean it isn't a demo - it's a function. Freeze it, then call it once or point it at a list of a hundred names, one call per row. typed in/out, freeze → api, 100× parallel ### Runs without you Schedule it for every morning, or wake it on an event. It checks your portfolio, writes down only what actually happened, and stays silent when there's no news. scheduled, event-driven, silent on quiet days ### Every model + 1500+ tools The agent picks the model that fits the job and reaches for the right tool - Tavily, a paid data provider, a public registry, your CRM, your inbox. You never wire it by hand. any model, 1500+ tools, auto-routed Run time Depends on the workflow Cost Models + tool usage Throughput 850K rows - <40MB RAM Scale 100× parallel copies ## Built for the whole fund. One workspace where the deal team, scouts, partners, and IR run the same agents with shared context, governed access, and usage you can actually audit. ### Shared agent library One library across the fund. A partner's diligence agent helps a scout too. Fork, version, refine. The best workflows compound across the whole team. forkable, versioned, searchable ### Roles & permissions Partners, associates, scouts. Per-agent access, per-MCP scopes. Keep deal data and the cap table locked to the deal team, open sourcing agents to everyone. RBAC, per-agent scopes, SCIM provisioning ### Audit & observability Every run logged with prompt, tools called, models picked, cost. Slice by team, agent, or user. Export to your SIEM. Show an LP exactly how a number was reached. cost-per-team, SIEM export, run replay ### SSO & identity SAML SSO with Okta, Azure AD, Google Workspace. SCIM v2 provisioning. Auto-deprovision on offboard. Vaulted secrets for every MCP credential. SAML 2.0, SCIM v2, vault ## The agent cloud. Get in early. Twenty-three workflows to start from, an API for the agents you save, a real compute layer underneath - and it compounds every week. Run one now, or let's talk about backing what's next. Security and compliance are built in from day one. PEN **Pen-tested** Independent quarterly penetration tests. Live AES **Encrypted everywhere** AES-256 at rest. TLS 1.3 in transit. Live SOC 2 **SOC 2 Type II** Type II audit underway. In progress GDPR **GDPR & DPA** DPA and EU data residency in progress. In progress ISO **ISO 27001** ISMS controls being implemented. In progress HIPAA **HIPAA-ready** Controls and BAA on the roadmap. In progress ### Ready when you are. Open the app and run your first agent now, or book 30 minutes and we'll wire one to your stack live. [Run a live agent →](https://app.flymy.ai/) [Back the agent cloud](https://calendly.com/dima-flymy/30min) --- For agents: the FlyMyAI operating guide (sign up, connect, run models, tools and agents) is https://flymy.ai/skill.md, and https://flymy.ai/llms.txt lists the other pages and the documentation.