The record is fragmented
Your CRM and databases store the fields. They do not explain how your fund defines a qualified deal, a portfolio company, a reporting period, or the metric behind a question.
For venture capitalTry on your data
Query your CRM and structured data without guessing which fields, stages, or metric definitions to use.

Query your CRM and structured data without guessing which fields, stages, or metric definitions to use.

Query your CRM and structured data without guessing which fields, stages, or metric definitions to use.
The context gap
Your CRM and databases store the fields. They do not explain how your fund defines a qualified deal, a portfolio company, a reporting period, or the metric behind a question.
A raw MCP can find plausible columns and still return the wrong answer because it cannot infer your terminology, business rules, entity mappings, or metric definitions.
Why context matters
Access to structured data is not the same as understanding it. Briefed resolves fund terminology, entity relationships, taxonomies, and metric definitions before a query runs.
“Qualified” has no matching field
“Series A” and “entered” map to several plausible columns
RESULT: Plausible query. Unreliable result.
Qualified resolved to your fund’s screening criteria
Round, pipeline event, and reporting period mapped to defined fields
RESULT: A consistent count using your fund’s own definitions
ARR could mean multiple stored or calculated values
B2B SaaS and growth period are not defined by the schema
RESULT: Plausible query. Unreliable result.
ARR formula and comparison period resolved from the metric library
Portfolio membership and sector taxonomy applied consistently
RESULT: The right metric across the right portfolio companies
One interface. Your firm’s context.
Ask your preferred AI client about a company, founder, relationship, or portfolio metric. Briefed applies the right fund definitions and keeps the underlying fields and query logic visible.
“How many qualified Series A deals entered our pipeline this quarter?”
Apply your fund’s definition of qualified, normalize round stages, and use the right pipeline event and reporting period.
“What is the median ARR growth of our B2B SaaS portfolio?”
Use your ARR formula, portfolio taxonomy, comparison period, and entity mappings—not whichever columns sound closest.
“Which companies match our fintech thesis but have not reached first meeting?”
Translate your thesis, sector definitions, and deal-stage logic into a consistent query across structured records.
Keep the stack. Add the context.
Briefed is the semantic layer between your fund’s structured systems and the AI tools your team wants to use. Keep the stack funds already run; add the definitions and context raw connectors lack.
Answers that hold up
Trace every answer to the structured records, fields, filters, and metric logic used to produce it.
Resolve your terminology, entities, relationships, sector taxonomy, and deal-stage definitions.
Carry authentication, data segregation, and permissions into the intelligence layer.
Teach Briefed how your fund calculates ARR, growth, qualification, and other business-specific measures.
Low effort by design
Connect the CRM, application database, warehouse, or structured spreadsheet that holds your deal and portfolio data.
Briefed maps entities and relationships, then applies your terminology, definitions, taxonomies, and metric formulas.
Ask through MCP from Claude, ChatGPT, or Gemini and get an answer built from the right fields, filters, and business logic.
Proven in production
Briefed already powers reliable data experiences for customer teams. The VC edition packages the same semantic foundation for fund workflows.
Simple, flat-rate pricing
One plan for the whole fund. Connect the structured systems that hold your data and let every team member query them with the same shared definitions.
Briefed for VC
The questions behind the decision
No. Briefed is the semantic context layer for the structured systems you already use. Your CRM and databases remain systems of record; Briefed makes their data reliably queryable from Claude, ChatGPT, Gemini, and other tools through MCP and APIs.
A raw MCP exposes schemas, tables, fields, and values. It does not know what your fund means by a qualified deal, ARR, first meeting, portfolio company, or a specific sector. Briefed resolves those definitions, entities, relationships, and metric formulas before generating and executing the query.
The core Briefed product is self-configuring: its agents inspect connected data, infer relationships, and build the semantic layer. The VC edition is intended to reduce setup further by pre-packaging common fund systems and workflows.
The VC plan is $250 per month with unlimited connectors, queries, and seats. The signup flow will show the exact activation steps before you commit.