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    ← Customer stories

    Case study · Top Secret cleared · 25+ years in federal cyber

    How DGC put 84,685 opportunities through the engine instead of through analysts.

    84,685

    solicitations screened by AI in 7 months, so analysts focus only on live pursuits

    DGC logo

    The company

    DGC

    DGC is a cybersecurity engineering and consulting firm with Top Secret facility and personnel clearances and more than 25 years serving federal agencies.

    Before SamSearch

    At this bid volume, reading every notice is not a process

    A TS-cleared cyber firm with decades of federal work does not have a small opportunity set. Tens of thousands of candidate solicitations. Hand-reading every one is not slow. It is impossible. You either miss the fit or burn the capacity you need for pursuits already in flight.

    How they use SamSearch

    The capture workflow

    DGC is the heaviest recommendation-engine user on SamSearch: 3,498 runs. The engine screened 84,685 solicitations, shortlisted 34,717, and feeds a 52-pursuit Journey Hub board worked daily. Analysts chase. The engine reads.

    By the numbers

    DGC in SamSearch

    Solicitations screened

    84,685

    Read by the recommendation engine

    Worth a human look

    34,717

    Surfaced as relevant

    Cut before review

    59%

    Removed as poor fit

    Hours returned (est.)

    3,331

    Analyst time, platform estimate

    From the market to the shortlist

    How many solicitations the engine read for DGC, how many it removed, and how many made it to capture review.

    84,685

    Screened

    100%

    ›

    49,968

    Cut

    59% removed

    ›

    34,717

    Shortlisted

    41%

    Screening volume by week

    Weekly solicitations screened versus the smaller set returned as relevant. From live recommendation activity.

    Surfaced to youFiltered out
    10,9801/121/191/262/22/92/162/233/23/93/163/233/304/64/134/204/275/45/115/185/256/16/86/156/226/297/67/137/207/278/3

    Hours returned uses a platform estimate of 4 minutes per solicitation filtered out. Not a stopwatch measurement for this account.

    Capabilities in play

    What they run in the platform

    Capture →

    3,498 recommendation runs processing 84,685 candidate solicitations, the heaviest engine usage of any customer on the platform.

    Manage →

    52 pursuits tracked and worked daily in one pipeline, not split across spreadsheets and inboxes.

    Old way vs. SamSearch

    What changed in the pursuit process

    BeforeWith SamSearch
    Opportunity screeningSolicitations and attachments read one at a time.3,498 recommendation runs process 84,685 solicitations automatically.
    Signal vs. noiseNo fit score. Every notice needs a human read to rule it out.34,717 shortlisted. The rest never reach an analyst.
    Pipeline trackingPursuits split across spreadsheets, a shared drive, and email.52 pursuits worked daily in one Journey Hub pipeline.
    The DGC team with SamSearch at a GovCon industry event.
    The DGC team with SamSearch at a GovCon industry event.

    FAQ

    What does DGC use SamSearch for?

    DGC is the heaviest recommendation-engine user on SamSearch: 3,498 runs. The engine screened 84,685 solicitations, shortlisted 34,717, and feeds a 52-pursuit Journey Hub board worked daily. Analysts chase. The engine reads.

    What results are documented here?

    3,498 AI recommendation runs, the heaviest usage on SamSearch; 84,685 opportunities reviewed by the engine; 52 pursuits tracked by an active daily team.

    How were the results verified?

    Platform activity comes from SamSearch production data. No award dollars are claimed where a matching public record is unavailable.

    Results

    3,498
    AI recommendation runs, the heaviest usage on SamSearch
    84,685
    opportunities reviewed by the engine
    52
    pursuits tracked by an active daily team

    Put your next pursuits on the same footing.

    See how SamSearch finds fit, cuts noise, and keeps federal and SLED work moving in one place.

    Request a demo
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