Proposal operations,
under control.
One place to understand an incoming RFP, ground the response in approved evidence, verify the gaps and keep the work record.
From source document to review-ready response
Each stage has a distinct job. Nothing is silently merged together.
Start with the work, not the settings.
Create a project, add the company facts you approve, then bring in the RFP.
Your response records
Build each response around a project.
A project is the durable home for the RFP, response history, objective and future follow-up work.
Bring in the source.
Select the project, attach the RFP or tender, then run the evidence-first analysis.
Choose the project
Upload the RFP, tender or questionnaire
PDFs and images can be sent to the multimodal model. DOCX/XLSX are extracted before analysis.
Drop the source document here
Or choose it from your device
FLOW will not invent company credentials, pricing, certifications, client names or compliance evidence.
Analysis
Your evidence base.
Store only facts your team wants FLOW to use when drafting. This is user-owned workspace data protected by row-level security.
New approved record
Saved records
Your work record, not a dead end.
Re-open past analyses, inspect what the model found and see the project they belong to. Source files are not stored automatically.
Control the workspace.
Session, data retention and product architecture settings live here so the main workflow stays clean.
Signed-in workspace
User-owned records
FLOW stores project metadata, response analysis results and approved knowledge records so you can return to your work. Original source files are not stored by this MVP.
Why this product needs serious cloud infrastructure
The product uses cloud resources for actual application workloads; it does not manufacture activity merely to consume credits.
Designed like a proposal operation.
FLOW is deliberately separated into stages so a user can inspect what happened instead of receiving one opaque AI answer.
Source → Evidence → Response → Verification
FLOW is not a generic chat box. It is a workflow engine for a real business process: preparing a response to a complex request.
Unknown is allowed.
When the workspace does not contain a fact, FLOW should surface the gap for human confirmation. The system is intentionally designed to make unsupported claims visible.
Camera input belongs to the workflow.
QR and supported barcode capture can be attached to the same response context so identifiers are not disconnected from the document being answered.
Projects create the record.
A project groups the work. Analyses and requirements become records under that project. Knowledge is owned by the workspace and can be reused across responses.