XPERTWORX / SOLUTIONS / XPERTRADAR
SDVOSB  ·  VETERAN-BUILT  ·  ST. AUGUSTINE, FL
XW-RADAR // GOVERNMENT MARKET INTELLIGENCE

XpertRadar

Scan · Qualify · Draft · Deliver

A private, self-hosted platform that continuously monitors federal contract and grant sources, scores every opportunity against your actual product and service lines, and turns the best matches into ready-to-edit, compliant submission drafts — all inside your own environment.

[ STATUS | IN PRODUCTION ] [ DEPLOYMENT | SELF-HOSTED ] [ YOUR DATA | STAYS ON YOUR HARDWARE ]
FIG. 01 — OPPORTUNITY PIPELINE, POSTED → SUBMITTED
3+
Federal sources out of the box
1
Scored pipeline · de-duplicated ledger
$ First
AI cost estimated before every packet
100%
Self-hosted · your data stays on your hardware
[ THE PROBLEM ]

Keyword alerts create noise. Capture teams need signal.

Opportunity data is scattered across SAM.gov, Grants.gov, SBIR portals, agency forecasts, and state sites. Generic alerts flood inboxes with irrelevant notices, real fits slip past deadlines, and every proposal still starts from a blank page.

Business-development teams burn their week triaging hundreds of postings that were never a match — then sprint the response when a genuine one surfaces late. The cost isn't just labor. It's the qualified opportunity nobody saw in time.

From "opportunity posted" to "proposal submitted" — days sooner.

XpertRadar replaces generic keyword alerts with relevance gating tuned to your portfolio, then shortens the path to submission with grounded, ready-to-edit draft packets.

[ OPERATING SEQUENCE ]

How it works

One-time configuration, then a continuous loop your team actually keeps up with.

STEP 01

Configure your offerings

Load your product lines, keywords, and capability materials once. Every downstream match, score, and draft is built against this portfolio.

STEP 02

Scan automatically

Scheduled or on-demand sweeps of SAM.gov, Grants.gov, and SBIR/STTR — extensible to forecasts, conferences, and state portals. New and changed postings are auto de-duplicated into one ledger.

STEP 03

Review a prioritized pipeline

One scored list, ordered by your priorities. Only opportunities that genuinely fit your offerings reach your team.

STEP 04

Assign and decide

Give each item an action officer, a due date, a status, and a disposition — bid, no-bid, watch. The pipeline shows who owns what.

STEP 05

Generate a draft packet

Preview the projected AI cost, then produce a grounded Word/PDF draft built strictly from your own capability materials. Missing facts become flagged placeholders — never guesses.

STEP 06

Report and submit

Share an executive report of the whole pipeline by product line — live HTML, PDF, or Word — then finalize and submit days sooner.

[ CAPABILITIES ]

Built for capture, not for clicks

FIELD // SOURCES

Multi-source scanning

SAM.gov, Grants.gov, and SBIR/STTR out of the box, extensible to agency forecasts, conferences, and state portals — with automatic de-duplication into a single ledger.

FIELD // SCORING

Product-aware relevance gating

Every posting is scored against your specific product and service lines. Your team sees the fits, not the firehose.

FIELD // DRAFTING

Grounded submission packets

AI-assisted drafts grounded strictly in your capability materials. Facts the system can't verify are flagged as placeholders for your team to fill — by design.

FIELD // ECONOMICS

Cost transparency

Projected and actual AI cost per packet with a running total. Scanning and reporting carry no per-use AI cost.

FIELD // PIPELINE

Ownership & tracking

Assign each opportunity to an action officer with due dates, status, and disposition — triage with active, biddable, unassigned, and assigned filters.

FIELD // REPORTING

One-click intelligence reports

Your whole pipeline by product line, with scores and deadlines, delivered as live HTML, PDF, or Word — plus scheduled email digests for the people who need them.

[ INTEGRITY ]

Drafts you can defend.

Compliance teams don't trust magic. Every XpertRadar packet is generated from your own uploaded capability materials — and when a fact isn't in those materials, the draft says so instead of inventing one.

[ SOURCE | YOUR CAPABILITY DOCS ] [ MATCH | SCORED VS PRODUCT LINE ] [ UNKNOWN FACT | FLAGGED PLACEHOLDER ] [ AI COST | ESTIMATED BEFORE RUN ]

Dogfooded daily: XpertRadar runs our own federal contracting and grant pipeline at XpertWorx — and is in production with client deployments today.

[ AT A GLANCE ]

Specification

DeploymentSelf-hosted on your Windows workstation or server — no SaaS hosting, no vendor cloud. Your pipeline, contacts, and drafts live on your hardware; AI drafting runs through your own commercial model API keys.
SourcesSAM.gov, Grants.gov, and SBIR/STTR out of the box; extensible to agency forecasts, conferences, and state procurement portals.
Drafting engineCommercial frontier AI models, grounded strictly in your own capability materials, with missing facts flagged as placeholders.
DeliverablesSubmission packets and executive reports in Word, PDF, and live HTML; scheduled email digests.
SecurityLocal authentication with PBKDF2 password hashing; role-based access; data stays on your hardware.
EconomicsPre-generation cost estimates plus recorded actuals per packet. Scanning and reports carry no per-use AI cost.
DistributionSigned Windows installer with in-place updates that preserve your configuration and data.
[ WHO IT'S FOR ]

Teams that live in the pipeline

Government contractors

Capture and BD teams tracking federal and state opportunity flow against a defined offering set.

Grant-seeking organizations

Nonprofits and research organizations monitoring Grants.gov with funding-award context on every notice.

SBIR / STTR firms

Small businesses watching topic releases across agencies without a full-time analyst on the feed.

BD consultants

Run a separate, privately configured instance for each client portfolio — data isolated per engagement.

[ NEXT STEP ]

See it on your real offerings.

Request a 30-minute demonstration — configured to your actual product lines, not a canned dataset.

Request a Demonstration