Three pains every sales and BD team hits weekly. Each one is what your reps actually complain about, not what a feature page would call them.
You see 100 inbound decks a month and 70 of them never get past slide 4 because the reading queue keeps growing while the thesis work waits for Friday.
A founder backchannel takes 6 calls to do right, so you skip it on the borderline deals and pass on the one that later raises a hot Series B without you.
Last cycle's pass notes live in a Notion you never open, so the same founder pings you again, and you re-research the company from scratch instead of opening last quarter's memo.
Every pipeline below is a shape you wire on the canvas using the crew and tools further down. Not a feature we ship for you, a pattern you configure.
On deck arrival in Gmail or Drive, MarketAnalyst scores it against your written thesis, stage filter, and check size band, and writes a 6 line pass or pursue note. Static context holds the thesis so scoring stays consistent across the 100 decks you see this month.
MarketAnalyst lists 15 to 30 comparable companies by funding stage, revenue multiple, and product wedge. The scoped EDGAR and scraping tools restrict reads to public filings and your allowlist, so no unreleased competitive intel ever leaves the run.
LinkedIn search and prior memo retrieval surface 8 ranked operator references for a founder. The rag_retrieve tool pulls every past touchpoint with the same operator so you walk into the call already knowing the texture of the prior relationship.
LiteratureSpecialist surfaces papers that argue against the deal's core claim, MacroEconomist names 3 macro events that would invalidate the timing, DataScientist proposes a falsifiable kill metric. The HITL gate forces you to sign off on the kill criteria before the memo ships.
DataScientist normalizes monthly founder updates into a single KPI table with ARR growth, burn multiple, net new logos, and runway. Cross-run memory tracks which metrics each portfolio company actually reports so missing updates flag automatically.
Pulls the portfolio KPI table, this quarter's new positions, and the macro frame into a one page LP letter with benchmark in line one. HITL gate blocks export until you approve every number and every cited source, so nothing goes to LPs without your sign off.
Real personas from the research_team crew. Each ships with a tuned system prompt and a default tool allowlist. Swap models per persona on the canvas.
Builds the category read for a deal with funding rounds, comparable revenue multiples, on-chain or product usage signals, and a named TAM ceiling with stated risks.
Proposes a falsifiable KPI definition per deal, normalizes cohort and retention math across decks, and writes the pseudo code a portfolio dashboard can run on a schedule.
Reads academic and industry research that supports or contradicts a thesis, scores replication quality, and always surfaces one paper that argues against the deal.
Sets the capital cycle frame with Fed reaction function, DXY trend, and a 30 day calendar of macro events that move venture pricing and sector timing.
Every tool below is a real shared tool from the Melaya bundle. Allowlist per agent; HITL-gate the writes; revoke any of them in one click.
General search, structured fetch, and local file reads for all four personas. pause_for_human is the explicit HITL node that holds every memo, send, and LP draft until you approve.
MarketAnalyst pulls public comparable filings, S 1 prospectuses, and insider Form 4 data for category benchmarks. Read only, so no write gate is needed.
MacroEconomist queries FRED for rates, venture funding indices, and release calendars with the series id cited in every macro paragraph of the memo. Read only.
LiteratureSpecialist scans recent papers in the deal's technical category, scores replication quality, and lists one contradicting paper per thesis. Read only.
Tracks citation graphs around a founder's prior research or a category claim so LiteratureSpecialist can name the original work behind a pitch's footnote.
Pull product launch coverage, hiring page snapshots, and category news for the market map. Scoped per agent to an allowlist you set, never grants drafting personas a write tool.
Search LinkedIn for founder backchannel targets, prior employer connections, and operator references. Read only in this bundle, no write tool is granted, so nothing can DM a reference without you.
Build the per workflow knowledge store from past memos, pass notes, founder updates, and your thesis document. Powers Static context, rag_retrieve, and Cross-run memory.
Every pipeline ships with three layers of knowledge access. Mix and match per agent on the canvas. No shared vector space with another tenant, no surprise reads, no opaque retrieval.
includeContextPer-pipeline documents appended to specific agents' input on every run. The ICP brief, playbook, pricing sheet, or won-deal email corpus. Whatever needs to be there before the agent thinks. You pick which personas get which docs.
rag_retrieveA scoped tool granted per-agent. When the agent decides it needs more depth, it queries the workflow's vector store on demand. Same knowledge base as Static context, accessed only when the model asks for it.
pipeline_memoryPipeline-level state that carries from one run to the next. Yesterday's research is in scope for today's follow-up. The crew remembers what it already prospected, what got approved, what was sent. The audit log is the second-order knowledge base.
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