Investment intelligence for private-markets teams
MindLab connects source material, research, portfolio data, and firm standards so the team can investigate more, prepare stronger source-backed analysis, and preserve a record of how conclusions were reached.
Good afternoonMeridian Capital · Private Markets · Growth Fund I
Needs you
Pipeline · live deals by stage
Sourcing · 2
Triage · 1
NDA/IOI · 1
DD · 2
IC · 1
Today’s briefing
Five approvals and two blocking questions are waiting. Pipeline remains concentrated in sourcing, five portfolio items need review, and Meridian Family Evergreen HoldCo is tracking a 1.08x TVPI on $44M deployed at a 20.8% IRR.
Upcoming · 7 days
Cross-asset signals
Per-asset signals
Every deal cycle, your analysts rebuild the same research foundation.
That work is necessary. It should not require the most expensive people in the firm.
MindLab automates the assembly. Your team exercises the judgment.
The company record
Portfolio companies, active targets, rejected opportunities, watchlists, and competitors remain connected to their source materials, analysis, reviewer decisions, and history.
What comes in
One governed record keeps the evidence, analysis, decisions, and changes connected across the life of the company.
What it supports next
Commercial value
MindLab helps investment teams move more qualified opportunities into serious diligence, preserve IC-quality rigor, and reuse the firm knowledge created along the way.
Run more serious underwriting workflows per year with the same team, without lowering the quality bar.
Keep source-backed rigor visible across sources, assumptions, objections, approvals, and reviewer decisions.
Every reviewed company strengthens future screens, updates, portfolio reviews, and Radar monitoring.
The firm’s criteria and output standards guide each step. MindLab connects the source set, researches missing context, compares claims, prepares the requested dashboards and reports, and preserves only what the team approves.
Waiting for documents
Nothing is saved until you create it.
In tab order · reorder, remove, add, or invent your own
…
Ask about this report, or pick a question above. Every answer cites the report and its sources.
MindLab remembers. The next FreshRoute deal starts from this record, not a blank page.
Start with available evidence. Strengthen the work as new information arrives.
MindLab prepares a first version from the available sources, identifies missing or conflicting evidence, and updates the analysis when a call note, model, or data-room file arrives. Reviewers can see exactly what changed before making the decision.
An internal IT team can build document Q&A. Radar is harder: it cross-references live news, market movement, regulations, competitors, and operating signals against approved IC assumptions, company records, risks, and reviewer decisions, then prepares a source-backed impact brief.
Pick a sample, or write your own.
MindLab compares each finding with approved company and sector context.
Epic’s native ePA embed threatens PraxiaFlow’s prior-auth automation market in an active deal.
Key facts · aligned to firm standardSource-cited. Nothing promotes without your call.
Review what changed and why it matters. MindLab keeps the live signal, affected company, IC assumption, thesis impact, and reviewer decision together.
Analytical agents
During implementation, MindLab configures analytical agents around your mandate, sector theses, scoring rubric, diligence questions, and report standards. Each agent returns source-backed analysis for your team to review.
Explore analytical agentsTarget-company research, third-party diligence, approved decisions, and portfolio updates stay connected so the team can build on prior work instead of reopening the same files.
Promote an approved opportunity into a portfolio company, then review performance, risks, assumptions, and material changes against the original thesis.
Trust & governance
Investment work may be reviewed long after the first draft: by the IC, LP stakeholders, auditors, or regulators. MindLab keeps claims linked to sources, makes gaps visible, records named approval, and preserves the review trail with the company record.
Material claims and metrics retain source markers, making the analysis easier to check and challenge.
Missing or conflicting information remains visible. A source gap is called out, never invented.
Draft analysis stays separate from the approved record until a named reviewer accepts it. Review state and version history preserve the decision trail.
Customer work remains inside the agreed workspace boundary and is not used to train public models by default. Access, export, and deletion terms are documented during evaluation.
Security and deployment requirements are reviewed during evaluation.
Implementation
A strong internal team or specialist agency can build pieces of this. The question is whether your firm wants to fund and maintain the full system itself. MindLab handles the repetitive first pass. Your team handles investment judgment, recommendations, and final decisions.
Understand where the firm's information comes from, how work moves from intake to decision, who reviews what, and what a successful output looks like.
Build the agreed data connections and configure the firm's mandate, rubrics, analytical agents, dashboards, reports, permissions, and approval rules.
Launch with the team, calibrate the output against the firm's standards, then expand to more teams, deals, and portfolio records from the same configured foundation.
Implementation scope and commercial terms are agreed after the product walkthrough.
The demo uses sample deal data to show the complete system: source intake, research, analytical agents, evidence review, reports, approvals, company records, portfolio context, and Radar.
Prefer email? contact@mindlab.io
Information sources, repeated processes, reports and templates, investment criteria, specialized analysis, review responsibilities, approval rules, access permissions, and company and portfolio records. Each is configured during implementation around how the firm operates.
ChatGPT and Copilot give individuals powerful tools, but the firm still owns workflow design, standards, permissions, review rules, adoption, and maintenance. Someone still has to decide what information to use, what work to perform, how reports should look, who checks the output, and what the firm should remember. MindLab handles that implementation with your team, configuring the platform around the firm and maintaining it.
Your team reviews every output. AI generated analysis remains a draft until an authorized person approves it. The firm defines access levels, review responsibilities, and approval rules. Investment judgment stays with people.
If there is a fit, we scope the priority processes, firm standards, outputs, reviewers, and success measures. Implementation happens after agreement.