Find the signal in everything your program knows.
Intelligence is a secure AI tool that shows who’s working on a problem, what’s been funded, and who could team up, with every finding traced to its source and kept when people rotate.
Research built from scratch, every time
The answers exist, scattered across past awards, inboxes, and public records. Pulling them together takes days, and when the researcher rotates out, the office starts over.
Who’s already working on this?
Is it already funded?
Who could deliver?
What changes for your program
The field, already mapped
A new workspace comes loaded with curated public data, kept current by Collaboration.Ai. The research a team would otherwise do by hand across government databases is done once and ready on day one.
Answers with sources
Put the program’s own records and files next to the public record and ask in plain language. Who is working on this? Has the government paid this company before, and for what? Every answer cites where it came from, down to the source, so the brief that goes to leadership carries its evidence with it.
Research that reruns
Research, summarize, and search come ready to run and return results in the same shape every time. For the work a program repeats every cycle, engineers build a workflow around the office’s own criteria that the team reruns. A person reviews the plan before anything runs, and the program’s own experts make the call.
Knowledge that stays
Records fill in and stay current as the program works. Findings, briefs, and the reasoning behind them live in shared workspaces, with every action and source on the record, so the next cycle and the next person start where this one ended.
Built for the people who have to know the field
Program offices
Portfolio tracking, capability planning, and the leadership brief that has to say what’s already covered and what isn’t.
Agencies and labs
Partner discovery, technology transfer, and a map of who is working on what across programs.
Industry and suppliers
Partner brokering, vendor evaluation, and market scanning on the same foundation government programs run.
Everything the office knows, and everything it can reach
Your data
Upload the program’s people, organizations, and events in bulk, add the files that carry the history (reports, transcripts, decks, capability statements), and connect the drive the team already works from. Intelligence reads; it never writes back.
Curated data
Curated data packs bring the public record into the workspace. Where a program depends on a source of its own, a custom pack is built around it. Collaboration.Ai keeps every pack current. Underneath sits an organization library spanning industry, academia, and government, and records fill themselves in from authoritative sources.
Ask and research
A conversational workspace that answers across the program’s data and the public record, cites the source behind every answer, and turns a question into a report or briefing ready to share. Nothing is visible to anyone else until it’s saved.
Workflows
Research, summarize, and search run as defined processes that return the same shape of result every time. Custom workflows are built for the office’s needs and scoped to the data they should see, with a plan presented for review before each run.
Missions
Shared spaces for a problem, a solicitation, or a cycle, where the team keeps the briefs, files, and findings together and picks them up next time.
The record
Every user action, query, data source, and workflow run is logged. Every enriched field shows where it came from. When a decision gets questioned, the research behind it is already on file.
The research step that gated a six-month cycle stopped gating it, and vendors qualified per run went from 5 to 30. The research now feeds the problem definition workshop instead of holding it up.
“The verifying part is the most time-consuming for me, and it’s still infinitely faster than what I was doing.”
Built with your office, not just for it
Engineers from Mission Success work alongside your office to turn the recurring research into workflows on Intelligence that the team reruns every cycle, with every finding traced to its source.
Private by design, on the record by default
Research on a program often touches what isn’t public yet. Intelligence keeps each customer’s work in its own workspace, and keeps a record of who asked what and where every answer came from.
U.S. infrastructure, one isolated workspace per customer
Aligned to NIST 800-53
Impact Level 4 on the roadmap. FedRAMP authorization in progress.
Not used to train models; stays inside the customer boundary
Every action, query, and source logged
Questions programs ask
Does it replace what we already use?
No. Intelligence sits on top of what the program already has: the records it keeps, the drives it works from, and the public sources it already checks. It reads from them and never writes back, so nothing underneath has to change. What it adds is one place to ask across all of it, with the answers kept and the research rerun instead of rebuilt each cycle.
Which data sources does Intelligence connect to?
Two kinds. Internal: the program’s own records and files, from the drives the team already works from. Intelligence reads them and never writes back. External: curated data packs that bring in the public record, including SAM.gov, SBIR/STTR awards, USAspending, and DTIC, plus an organization library spanning industry, academia, and government. Where a program depends on a source of its own, a custom pack is built around it, and Collaboration.Ai keeps every pack current.
How is AI used?
Intelligence performs automated analysis under human direction. A person frames the question and sets the criteria; the software gathers, connects, and summarizes, and shows where each finding came from. Every action, query, and data source is logged, and customer data is never used to train models.
How is it different from Source and Acquire?
Intelligence handles the research around a program, at any point in the cycle: who is working on the problem, what has been funded, and who could deliver, with every finding traced to its origin. Source runs open calls and idea campaigns from open to close. Acquire runs funding programs from topic to award. All three run on NetworkOS.
Is Intelligence authorized at FedRAMP or Impact Level 4?
Not today. Intelligence runs on U.S. infrastructure in isolated workspaces aligned to NIST 800-53, with no model training on customer data. It is being prepared for both IL4 and FedRAMP authorization.
How does a program buy it?
Collaboration.Ai’s prior SBIR work makes it eligible for sole-source Phase III awards. Under 15 U.S.C. § 638(r)(4), those awards may be made without further competition. Where Phase III does not apply, we’ll work with your office to find the contracting pathway that fits.
Bring the problem on the desk right now
Thirty minutes with someone who has set Intelligence up for a program office. A real need, as it stands today, is enough to come away knowing what the first run on it would look like, what it would take to stand up, and whether Intelligence is the right fit.
Contracting vehicles
Direct award pathways, no new competition required.
Collaboration.Ai’s prior SBIR work makes it eligible for sole-source Phase III awards. Under 15 U.S.C. § 638(r)(4), those awards may be made without further competition.
Where Phase III does not apply, we’ll work with your office to find the contracting pathway that fits. Contracting vehicles →