Your AI Investment Analyst

A virtual analyst built for VC/PE investment teams — automating data collection, industry research, financial modeling, and investment memo writing. Working 24/7.

Caplyst product interface preview
  • Emerging VC
  • Boutique PE
  • Corporate VC
  • Family Office
  • Growth Equity

Your Team Is Being Slowed Down by Low-Value Analysis

The most expensive resource in investing is your analysts' time and attention — 60–80% of it is burned on repetitive work:

1 / 3
Quality deals get locked up by competitors with a TS before diligence finishes
+4 weeks
Decision cycles stretch from 2 to 6 weeks — valuations rise, term windows close
Half
Of senior analysts’ time goes to mechanical work, and institutional know-how walks out with attrition

A system-level problem—see the Caplyst solution

Replace Repetitive Analysis with an AI Analyst

Give instructions in natural language — Caplyst handles data collection, analysis, and document drafting automatically.

Instant parsing, cross-document links

Parses BPs, research reports, financial statements, and data room materials — extracts core metrics, flags risk signals, and finds cross-document connections. Full PDF, Excel, Word, and PPT support.

Auto modeling, scenario simulation

Automated projections from core business assumptions, with multi-scenario simulation, variable comparison, and sensitivity analysis — quantifying value, upside, and risk boundaries.

IC-grade reports, delivered instantly

Rigorously structured investment memos that follow institutional templates and formatting standards. Every conclusion carries source links and supports iterative refinement.

24/7 always available · Deploy and go · Objective, data-driven analysis · Institutional know-how retained long-term

The Agent-as-Employee Paradigm

Caplyst is not a software tool. You assign tasks to it, discuss ideas with it, and have it produce memos — just like a human analyst, except it does not take lunch breaks, never miscalculates formulas, and does not walk away with institutional memory when it leaves.

The core problem: an investor spends 60–80% of their day on low-value repetitive work (data collection, cross-validation, formatting, report handling), while only 20% goes to genuine investment judgment. Caplyst aims to flip that ratio.

DimensionTraditional SaaSCaplyst
UsageOpen UI, operate step by stepAssign tasks, await delivery
OutputAssists your workCompletes independently, asks you to confirm
Learning curveRequires training, feature familiarityZero onboarding, industry framework built-in
ExtensibilityFixed features, await version updatesBootstraps new Skills during work
Cost growthLinear (per person added)Sub-linear (marginal cost → zero)

A Capability Matrix Built for VC/PE

From deal sourcing to portfolio management, from diligence modeling to back-office operations — a virtual employee for the full investment lifecycle.

PILLAR 1 · PRE-DEAL

Pre-Deal

A unified data foundation connects deal discovery, background diligence, investment judgment, and deal strategy — producing traceable, comparable, reviewable decision materials before anything reaches the IC.

Dealflow snapshotLive
Deals covered128
Actively advancing23
New this week7
Sourcing61
Screening34
Diligence18
IC5
IC readiness82 / 100

Material completeness, risk exposure, and deal assumptions calibrated in one view.

Unified data sources
Key assumptions logged
Transparent approval trail
Deal Strategy AnalysisScenario grid

Valuation ranges, entry paths, and competitive signals compressed into a one-page strategy view, helping the IC quickly identify the optimal pace.

Base12-14xSteady progress
Upside15-18xAccelerate
Risk<11xLimit exposure
01

Pipeline Management

Sources, stages, and owners tracked in one place — turning scattered dealflow into a shared, coordinated board.

Sources covered12 channels
Advance efficiency+31%
02

Background Diligence

Structured checklists across team, registry, litigation, and media — investigation results distilled into comparable evidence.

Verification dimensions28 items
Anomaly alerts3 types
03

IC-Ready Work Package

Market, financials, risks, and minutes automatically assembled into a complete package ready for investment committee review.

Core modules8 sections
Version historyFully logged
04

Deal Strategy Analysis

Bidding dynamics, price ranges, and term preferences side by side — align strategy fast before negotiations.

Comparable deals41 deals
Strategy outputOne page
PILLAR 2

Post-Deal

From continuous monitoring to exit-path evaluation — portfolio management shifts from reactive response to continuous awareness.

Portfolio health
KPI drift-12%
Alert latency4 min
Exit watch3 deals

Portfolio Monitoring

Weekly health reports and red-line alerts, automatically

always-on

Portfolio company data is captured weekly, KPI changes tracked, and a Portfolio Health Report generated. Core operating and financial metrics are monitored continuously — anomalies flagged red for early risk detection.

Exit Planning

Compare historical exit paths, assess DPI impact

scenario sim

Monitors market windows to identify optimal exit timing and routes. Benchmarks historical exit cases to evaluate how each path affects fund DPI.

PILLAR 3

Operations

Document processing, knowledge retrieval, and LP communication distilled into an institutional operating system.

01

Knowledge Q&A

Integrates historical deals, industry research, and expert insight — queryable by the team anytime.

02

Document & Meeting Intelligence

Automatic document comparison, contract clause extraction, compliance checks; transcription with automatic action items.

03

LP Reporting

Quarterly reports generated automatically, fundraising materials produced in one click, with AI-assisted LP Q&A.

Book a Product Demo

From One Instruction to an IC-Grade Report

Assign the task in natural language — Caplyst decomposes, executes, and assembles it, delivering meeting-ready materials within hours.

01
Give the Instruction01

"Fully analyze this AI startup (BP attached), extract its core moat, and compare competitors."

Natural language, zero learning curve
02
Auto Decomposition02

Identifies 15–20 related subtasks, builds the dependency graph, assigns data sources

The AI plans its own execution path
03
Smart Sourcing03

Parses the BP → pulls registry records → scrapes competitor data → gathers market intelligence

30+ data sources, integrated in seconds
04
Analysis & Modeling04

Automatic financial models · comparable valuation · sensitivity analysis · risk matrix

Institutional-grade analytical framework
STEP 5 / DELIVERY

Complete memo delivered — conclusion first, evidence traceable.

The final deliverable is a formal memo with investment recommendation, key risks, evidence chain, and follow-ups. The first draft arrives inside your decision window; every judgment keeps its source, timestamp, and reasoning path.

DELIVERY STANDARDMemo / Risk ledger / Recommendation summary
T+00:45first draft lands
100%sources logged
3 tiersrisk grading
OUTPUT MEMOReady

Delivery v1.0

Conclusion first, then supporting evidence and recommended actions.

RECOMMENDATION

Proceed, with position discipline.

+72bpconviction
RISK LEDGER
  • 01Regulatory pace may still shift the timeline.
  • 02Correlated assets see amplified volatility when liquidity tightens.
  • 03Execution variance needs tracking in the next round.
Full memo
Included
Evidence chain
Included
Recommendation
Included
Risk tiering
Included
First-draft speed
45 min

To institutional delivery standards: conclusion first, then evidence, then risk screening.

SPEED TO FIRST DRAFTShip an actionable version first.

Interviews and counterarguments follow — but never delay the first judgment.

Book a Product Demo

Broader Coverage, Faster Consensus, More Quality Deals Won

Based on H1 2025 usage across 50+ VC/PE firms (n=50, median).

Annual deal coverage per team rose from 150 to 240+, IC decision cycles compressed from 21 days to 5.6, competitive-round TS win rate improved 38%, contributing an estimated +2.4pp to fund IRR.

240+
Annual deal coverage per team
Baseline 150 → 240+ deals/year
-73%
IC decision cycle
21 days → 5.6 days
+38%
Competitive-round TS win rate
Lock the Term Sheet first
+2.4pp
Estimated fund IRR contribution
Median performance

Financial-Grade Security, Top-Tier Data Sources, Seamless Integration

Architecture

1

Data layer

30+ authoritative data sources (Capital IQ, Bloomberg, PitchBook, Tianyancha...)

2

Analysis layer

AI reasoning engine built on top institutional frameworks; cross-document analysis; time-series forecasting

3

Execution layer

Autonomous multi-step task planning and orchestration; extensible skill system; error handling and retry

4

Collaboration layer

Multi-format file I/O; long-term memory; team workspaces; deep Feishu/DingTalk/Slack integration

Security Commitments

1

Flexible deployment

Public cloud / private cloud / fully on-premise — data never leaves your domain

2

Encryption standard

AES-256 end-to-end encryption, in transit and at rest

3

Access control

Fine-grained role-based access control (RBAC), least-privilege principle

4

Audit & compliance

Complete operation logs, SOC 2 Type II certified, GDPR / PIPL compliant

5

Data residency

Deployable in mainland China or specified jurisdictions; customer data is never used for training

Integration Ecosystem

Data sources
  • Capital IQ
  • Bloomberg
  • PitchBook
  • FactSet
  • Statista
  • Tianyancha
Storage
  • AWS S3
  • Google Drive
  • OneDrive
  • Dropbox
Collaboration
  • Slack
  • Teams
  • Feishu
  • DingTalk
  • WeCom
CRM
  • Affinity
  • Salesforce
  • HubSpot

Serving 50+ VC/PE Firms

200+
Auto-generated investment memos
Spanning early-stage to growth
10,000+
Hours of manual analysis saved
Equivalent to 5 full-time analysts for a year
95%+
Customer satisfaction
Based on an N=32 customer survey
3 days
From signing to live
Including data hookup, templates, and training

“Caplyst cut our diligence cycle from an average of 3 weeks to 4 days. The biggest surprise was not the speed — it found legal risk connections in the data room that our human team had missed.”

— Partner at a leading VC, $500M+ AUM

“Our 3-person team used to max out at 150 deals a year. With Caplyst, the same team deeply evaluated 240+ deals last year — and returns actually improved, because we saw more opportunities.”

— Investment Director at an emerging early-stage fund

“LP quarterly reports used to take 2 people a full week. Now Caplyst drafts in 4 hours and we finalize in 2. This is not just efficiency — it is a reallocation of the team’s energy.”

— COO at a growth-stage fund

Below the Cost of One Analyst, 3x the Output*

Simple, transparent monthly pricing. Subscribe monthly, cancel anytime.

Solo

¥21,600/mo
  • 1 concurrent AI analyst
  • 5 full projects per month
  • Basic research & analysis
  • Email support
Learn More

Multi-Strategy

¥144,000/mo+
  • Unlimited AI concurrency
  • Unlimited projects
  • Private deployment option
  • Custom workflow development
  • Dedicated technical account manager
Learn More

Institutional

Contact Sales
  • Private deployment + custom security
  • Dedicated solutions architect
  • White-glove rollout & training
  • SLA + priority response
  • Joint R&D and industry customization
Contact Sales

Boutique costs the annual salary of one mid-level analyst and replaces the output of three. * 3x output figure is based on 2025 customer usage reports; actual results vary with adoption depth.

See Full Pricing & Feature Comparison

Put Your AI Analyst to Work Today

30-day free trial. Test Caplyst on real deals, subscribe when satisfied. Cancel anytime at no cost.

or email us at contact@caplyst.ai

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