v1.0

by Caplia Labs

Meet

Meet

Phronel.

Phronel.

Private AI built to read early-stage companies
the way you do.

Launching 1 November 2026

You're probably

You're probably

already using AI.

already using AI.

To review documents. To analyse businesses. To make sense of complex information. It's fast, it's everywhere, and it mostly works.

But.

But.

General-purpose AI wasn't built to understand your criteria, protect sensitive company data or deliver consistent, evidence-backed decisions.

General-purpose AI wasn't built to understand your criteria, protect sensitive company data or deliver consistent, evidence-backed decisions.

Where general AI falls short.

Where general AI falls short.

01

01

It's a generalist.

It knows a little about everything. It doesn't know what a good early-stage company actually looks like.

02

02

It doesn't know how you decide.

No thesis. No criteria. Ask twice, get two answers, and no way to check its working.

03

03

It isn't built for secrets.

Sensitive company data, your own decision logic and internal notes should never become training materials.

Our mission

Find the needle.

Find the needle.

Not a copy of the last one.

Not a copy of the last one.

The best founder in your pipeline rarely looks like the last one you backed. Tools that learn only from what you liked before narrow the funnel to more of the same, and quietly bake in bias. Phronel is built the other way round: surface the best founders on evidence, then give your team back the hours to judge what only people can.

The best founder in your pipeline rarely looks like the last one you backed. Tools that learn only from what you liked before narrow the funnel to more of the same, and quietly bake in bias.

Phronel is built the other way round: surface the best founders on evidence, then give your team back the hours to judge what only people can.

01

Evidence, not resemblance

Phronel scores readiness against the outcomes of companies that have seen traction, across the market. Not against how closely a company resembles your past deals.

02

Fit informs. It never filters.

Your criteria sits next to readiness, not on top of it. A strong company that looks nothing like your portfolio is flagged for a human look, not quietly screened out.

03

What they've done, not who they resemble

Phronel reads traction, capital and execution the same way for every company, and flags spikes in sectors, places and founder profiles you've never backed.

04

More time spent on people

Phronel does the reading, so your team spends its hours with founders: how they think, decide and lead under pressure. The judgement no model should make for you.

Your criteria guide the search. They never decide which founders you get to see.

Your criteria guide the search. They never decide which founders you get to see.

What Phronel is

Private AI, built for

Private AI, built for

early-stage.

early-stage.

Four parts, one intelligence. Our own frameworks and tools, working as one so you make better calls, faster. Developed by the brightest minds in early-stage company evaluation.

01 · Framework

CRI

The Caplia Readiness Index. How ready is a company, and what should you ask?

02 · Tool

P15

15 traction signals, flagged the moment one spikes.

03 · Model

Reasoning layer

Fine-tuned for early-stage, applied to your own criteria.

04 · Infrastructure

Private

Your decision-logic and company data stay yours. Always.

01 / CRI · Our readiness framework

Know how ready a company

Know how ready a company

really is. Instantly.

really is. Instantly.

The Caplia Readiness Index (CRI) scores 28 signals across five areas, and surfaces the fundamental questions to ask before you're in the room. One common readiness language, for every company you see.

3.9x

3.9x

It's robust. Companies scoring 600+ on the CRI are in a fundamentally better state, statistically 3.9x more likely to raise capital within 12-months than those scoring below 300.

The market changes daily. That's why the CRI is versioned. We take the outcomes of companies with proven traction and re-weight the framework so it's in-line with what's happening in market.

Built by Caplia Labs, in collaboration with Oxford Saïd Business School.

Team

6 signals

Product & Competition

6 signals

Market

5 signals

Traction

6 signals

Foundational Readiness

5 signals

Versioned · Re-weighted on real capital outcomes

02 / P15 · Our traction tool

Spot traction

Spot traction

before everyone else.

before everyone else.

P15 watches 15 traction signals for every company you follow. When one spikes, Phronel tells you, in plain language, what changed, the evidence behind it and why it matters.

15

15

Traction signals, always on

Fifteen distinct signals tracked for every company in your pipeline or portfolio, not just the ones you happen to check.

↑

↑

Flagged when it spikes

The moment a signal moves, Phronel surfaces it. No dashboards to trawl, no updates missed.

“ ”

“ ”

Explained, not just scored

Every spike comes back to you qualitatively: what happened, the evidence behind it, and why it matters to your thesis.

03 / Reasoning layer

It thinks in

It thinks in

early-stage.

early-stage.

A reasoning layer for the early-stage company ecosystem, built with academics and leading institutions, with infinite knowledge (not generic web knowledge). It follows the reasoning experienced investors, banks and early-stage programme leads already use, and applies your criteria, not someone else's.

Every finding traces back to its source.

Strengths, risks and next questions, consistently.

Consistent foundations. Your judgement makes the decision.

General AI

Knows a bit about everything

Phronel reasoning layer

Fine-tuned for early-stage

Your thesis and criteria

How you decide

↓

↓

A clear answer you can check

Strengths · Risks · Next questions

04 / Private

Private.

Private.

Not private-ish.

Not private-ish.

Public AI tools were never built for founder data, term sheets, internal memos or committee debate. Phronel is.

Hosted on our own hardware.

Phronel runs on Caplia's own hardware, inside an environment we control and secure.

Never used for training.

Your thesis, criteria, prompts and founder information are never used to train or improve Phronel. Your edge stays yours.

Or run it on your own servers.

Deploy Phronel inside your own perimeter, so not even Caplia can see your data.

Reporting

A credit score for

A credit score for

early-stage companies.

early-stage companies.

Lenders have a common score. Early-stage companies never did, and our intelligence becomes that standard. Every Phronel assessment produces an evidenced report on one consistent scale, written in the language your committee, credit team, panel or board already uses. Share it with confidence, and keep it on file as part of your audit trail.

Every report includes

Evidenced. Versioned. Ready to share.

Score

0 to 1,000, with the five areas behind it

Evidence

Every finding linked to its source

Criteria

Your framework and terminology, applied

Questions

Risks and what to ask next

Record

Timestamp, framework version and reviewer

Share

PDF, link, or straight into your CRM

01

One score, one scale

Every company is scored from 0 to 1,000 on the same framework, so results compare across teams, programmes and years.

02

Every finding evidenced

Each point links back to the document, data or conversation it came from. Nothing to take on trust.

03

Speaks your language

Framed for the room it is going into, whether that is an investment committee, a credit panel, a grant board or a partner meeting.

04

Built for the audit trail

Timestamped and versioned. See what was assessed, when, against which framework, and why the decision was made.

Example · Venture capital

We deliver impact.

We deliver impact.

Matched to a partner's judgement.

Matched to a partner's judgement.

An early-stage fund gave Phronel a first set of companies it had already judged. Phronel's scores lined up with the partner's own calls, and became decision bands the team could stand behind: the clear weak tail passed automatically, and anything borderline still goes to a human.

77–100

Strong fit

60–76

Credible fit

50–59

Manual review, always a human

0–49

Automatic pass

Decision bands set from the fund's own labels, and recalibrated as more labels come in.

83%

83%

alignment with the partner's own calls on the first calibration set

0

0

thesis documents or sensitive fund materials used to train a model

50%+

50%+

reduction in time spent screening, compared with human review alone

Two ways in

Works where you

Works where you

already work.

already work.

Use Phronel in our operational platform, configured to you, or within the tools you already use. Same intelligence, same privacy.

01 / Our platform

Via Caplia's platform, your configuration

Your own Caplia workspace, set up with your thesis, criteria, scoring weights and team roles. Phronel runs across intake, pipeline, portfolio and programme views.

Intake

Pipeline

Portfolio

Programmes

02 / Your tools

Within your existing tools

Chrome, Slack and Microsoft Teams, your CRM via REST API, or your own agents over MCP. Your prompts stay private, never sent to OpenAI, Anthropic or Gemini.

Chrome

Slack

Microsoft Teams

REST API

MCP

Pricing · agentic access

We sell decisions, not seats.

We sell decisions, not seats.

Pay as you go, or choose a monthly plan and draw on it from any surface. Unlimited users on every plan. The Caplia Enterprise Platform is live today and priced separately.

● Live today

The Caplia platform is live today.

Intake, CRI scoring, thesis matching and portfolio views, ready for your team now. Phronel agentic access follows on 1 November.

Start on Caplia today

1
Analysis creditsOne credit is one new company analysis. Runs wherever you already work: in Chrome, Slack or Teams, through the API, or over MCP inside your own tools.
T
Research tokensIncluded with every monthly plan for the research your team would otherwise do in Claude or ChatGPT: questions, market and sector research, thesis work, memo drafting and deep research across many sources, all kept private.
How far research tokens goTokens measure how much Phronel reads and writes. Longer, source-heavy work uses more.
~10KtokensA research questionA question answered with a few sources, like a typical chat.
~200KtokensA deep research reportDozens of sources read and synthesised into a full report.
Plans
Pay as you go
$14per analysis
No commitment pay only for what you useCompany analysis only research tokens come with monthly plansUnlimited users on one shared account$14.00 per analysis
Angels, scouts and smaller teams analysing a handful of companies, or anyone trying Phronel before committing to a plan.
40 analyses / month
$299per month
40 analysis credits a month2M research tokens a month, about 200 questions or 10 deep research reportsUnlimited users on one shared pool$7.50 per extra analysis if you go over your allowance, same rate as the plan
Family offices investing directly, RIAs, and Caplia Platform customers adding intelligence to a programme.
200 analyses / month
$1,199per month
200 analysis credits a month10M research tokens a month, about 1,000 questions or 50 deep research reportsUnlimited users on one shared pool$6.00 per extra analysis if you go over your allowance, same rate as the plan
Venture funds, corporate venture units, consultancies and corporate finance advisory.
800 analyses / month
$3,999per month
800 analysis credits a month50M research tokens a month, about 5,000 questions or 250 deep research reportsUnlimited users on one shared pool$5.00 per extra analysis if you go over your allowance, same rate as the plan
High-volume teams, and software, data and workflow vendors using Phronel at scale.
Going over your plan?Keep going. Every analysis beyond your monthly allowance is charged at your plan's per-analysis rate: $7.50, $6.00 or $5.00. No cut-offs, no penalty pricing.
Multiplayer by default: no seats, no per-user licences. Your whole team works from one shared pool. The larger the plan, the lower the price per analysis: $14.00 down to $5.00. All prices in USD, billed monthly.
Working out the plan you need
1creditfor every new company you analyse
0.1creditper company you monitor continuously, each month
Estimate your monthly plan
You need about 40 analysis credits a month→ 40-credit plan · $299/mo
An angel analysing 10 companies a month10/mo → Pay as you go · $140
A fund analysing 25 new companies a month and monitoring 150 continuously40/mo → 40-credit plan
A programme screening 150 applicants a month and monitoring 500 alumni200/mo → 200-credit plan
A fund on the 40-credit plan that analyses 50 companies one month50/mo → $299 + 10 × $7.50
Continuous monitoringA point-in-time analysis starts ageing the moment it's written. Put a company on monitoring and it stays current instead. It draws from the same monthly pool, so you can move between one-off analysis and continuous coverage without changing your plan.
0.1credit per company per month
A fund monitoring 100 portfolio companies spends 10 credits a month doing it.
Putting Phronel inside your own productIf Phronel is going to reach people beyond your own team, the rights tier depends on how far it travels. Each is a multiplier on the credit price, with a minimum monthly pool.
RightsMinimum poolMultiplierFrom
EmbeddedPhronel runs inside your product, for your own users800 credits / mo1.25×$5,000 / mo
OEM & white-labelPresented under your brand rather than ours2,000 credits / mo1.50×$13,500 / mo
Redistribution & resaleYou sell Phronel intelligence on to your own customers4,000 credits / mo2.00×$32,000 / mo
What isn't a creditAPI access on a Caplia Platform plan connects your systems to your own programme data: applications, cohorts, companies you already work with. That's included in the Platform plan and costs no credits. Adding teammates never costs anything either.
One rule, everywhereEvery new company analysis costs one analysis credit, whether you trigger it from the Platform, the API, MCP or the browser extension. General research and deep research draw on your plan's research tokens.
Not sure which plan?Tell us how many companies you expect to analyse each month and how many you'd want kept current, and we'll size it with you. Start on pay as you go and move up or down a plan at any time.
Size your plan with us
Phronel by Caplia · pricing current as of September 2026 · All prices in USD, billed monthly · Token equivalents are typical, actual usage varies with sources and length

Phronel by Caplia

The secure, private AI for early-stage company analysis arrives on 1 November.

The secure, private AI for early-stage company analysis arrives on 1 November.

Launching 1 November 2026
19Days
13Hours
28Minutes
44Seconds

© 2026

All rights reserved.