Internal research retrieval
Find prior research, diligence and investment discussions across approved repositories.
Institutional memory / Firm operations
Your past decisions should inform your next ones.
Build controlled knowledge models and agents around your firm’s memos, research, meeting notes and historical investment decisions, with the permissions that institutional information requires.
01 / The opportunity
Context should outlast a single conversation.
Funds develop differentiated knowledge through years of meetings, diligence and investment choices. That information often sits across CRMs, archives and individual teams instead of informing new work.
Custom engagement area / not an off-the-shelf product
02 / How this workflow really operates
A firm’s history should inform today’s questions.
An investment team may revisit companies, sectors and decisions years later. Without context, the same questions are researched repeatedly and the reasons behind prior calls can be difficult to recover.
Design question / 01
Which prior investment decisions are most useful to revisit?
Design question / 02
Who should have access to which materials?
Design question / 03
How do you separate historical opinion from present fact?
03 / What a fund might commission
Designed for a defined job.
The specific model, agent behavior, integrations and sources would be agreed for the engagement. These are illustrative applications of the approach.
Historical decision context
Surface previous investment rationale and relevant assumptions with references.
Firm knowledge assistants
Answer scoped internal questions using permissioned documents and defined boundaries.
04 / System anatomy
Inputs, intelligence, oversight, output.
- Fund contextApproved inputs + process
- ModelDefined reasoning + output rules
- AgentScoped task execution
- Investor reviewEvidence, approval + action
The fund provides / to be scoped
Relevant context
- Approved internal documents and repositories
- Access controls and permission groups
- Source and retention requirements
The system produces / to be validated
Reviewable outputs
- Cited answers and historical context
- Reusable internal research briefings
- Permission-aware retrieval workflows
05 / What the fund would see
A useful system produces something reviewable.
The proposed output below is an illustrative interface structure, not evidence of a built deployment. Actual deliverables depend on scoping and evaluation.
Illustrative output / not a product screenshot
Institutional research answer
Designed to retain the reasoning trail from inputs through investor review.
Example labels only · not an actual investment recommendationSONEXA LABS / REMEMBEREXAMPLE / NOT LIVE DATA
01QUESTION / DATE / AUTHORIZED SOURCE SET
02Relevant prior memos, interactions or sector notes
03Source attribution with access controls respected
04Open questions and time-sensitive context flagged
Requires fund review
06 / Example engagement
Illustrative scenario · not a completed client project
What a tailored engagement could look like
A principal exploring a category wants to locate the firm’s previous work. An agent retrieves accessible memos and meeting notes, showing sources and limitations rather than inventing a consensus.
07 / Design boundaries
Specific scope. Clear review.
The model’s responsibilities, evidence requirements and approvals should be explicit before the build begins.
Accountable person
CTO / Managing Partner / Principal / Operations lead
Review boundary: Team members inspect source records and apply current judgment before using prior material.
Why tailored: This is a permissioned intelligence layer defined for the firm, not a requirement to hand all sensitive information to Sonexa Labs at the outset.
Apply role-based access to all retrieved material.
01Flag stale information and changing assumptions.
02Never assert that all firm knowledge must be ingested at once.
03
08 / Related areas
Connected parts of the fund.
A working conversation
Have a workflow worth building around?
The right first step is a conversation about your existing process, your data and the result your team needs.