Sector
Government & defense
The usual way to establish federal credibility is a past-performance paragraph you are asked to take on trust. We would rather you opened the work. Seven of our products are federal and defense intelligence tools built entirely from public records — you can inspect the analysis, check the sources, and export the underlying rows.
§ 01 — what we have built
7 federal tools, none of them client work.
These are not deliverables and contain nothing privileged. They exist because the questions are hard to answer any other way — and because being able to answer them is the capability we sell.
ConstellationThe Counter-UAS contracting networkAn interactive map of the US government’s Counter-UAS contracting network, drawn live from public federal spending records. Every node a real agency or firm, every line a real award. Built to answer a question the market rarely visualises: where do small and disadvantaged firms actually sit in Counter-UAS procurement?Open 
DriftMDAP cost growth explorerMajor defense acquisition programs, and the distance between what they were promised to cost and what they cost now. 56 verified programs, $1.3T baselined against $1.7T estimated, from public GAO, CRS and DoD sources.Open 
SkywatchCounter-UAS incident atlasEvery FAA drone sighting mapped against US critical infrastructure, with proximity alerts, per-county risk scoring and a 12-month timeline you can play.Open 
CrucibleThe federal SBIR pipelineMaps the SBIR pipeline from solicitation topic to awardee to Phase II to the follow-on federal contracts firms later win — across DHS S&T, DARPA, DoD, NASA, DOE, NSF and NIH. DHS seeds the firms; other agencies harvest them.Open 
WatchstanderMaritime domain awarenessAIS gap, loitering, rendezvous, spoofing, convoy and relay-chain detection across the Southeast Coast and Caribbean, with satellite corroboration. 100% public data.Open 
ChokepointStrait of Hormuz consequence engineWhat happens to the world’s oil when Hormuz is disrupted: stranded barrels, overland bypass capacity, producer exposure and the modelled price shock.Open 
AirthreadFrom detection to coordinated decisionA mission decision fabric for evidence-preserving, human-authorized operational workflows — command intelligence, decision trace, after-action replay.Open
§ 02 — what it demonstrates
Domain fluency you can audit.
- Procurement mechanics
- Set-aside lanes, prime and first-tier subaward structure, the FFATA reporting ceiling, recompete timing, and where SDVOSB and 8(a) firms actually sit in a market.
- Acquisition behaviour
- Program cost growth against baseline, Nunn-McCurdy breach status, and why a nominal figure and a then-year figure tell different stories.
- Mission data
- FAA sighting records, AIS tracks, SBIR award pipelines, GAO and CRS reporting — the public corpora federal analysts already work from.
- Evidence discipline
- Stated provenance, stated limits, and exports that carry real identifiers so a reader can go and check the underlying record themselves.
§ 03 — training
Curriculum written for mixed rooms.
Two courses are published in full and delivered live: AI for Decision Support in Defense Operations (three days, no programming prerequisite) and R for Data Science: Foundations of Analytics (five days, written for US and NATO personnel).
Both lead with judgement, risk and human–machine teaming rather than with syntax, because the hardest room to teach is the one holding both the officer making a procurement call and the analyst who will write the code.
§ 04 — background
Where the instincts come from.
Our founder spent a decade on federally funded research — doctoral work at Los Alamos, a postdoctoral post at the U.S. Naval Research Laboratory on NASA's Fermi mission, then a Research Staff Member position at the Institute for Defense Analyses.
That is where the habits on this page were formed: state your provenance, state your limits, and expect to be checked.
Tell us what decision you are trying to get right.
Not a discovery call about our capabilities. A conversation about the specific thing you need to predict, and whether the data you have can support it.