From 110K+ entities monitored
Pre-RFP signals for
<div class='ecard'><div class='ecard-header'><div><div class='ecard-name'>Department of Labor</div><div class='ecard-meta'>County Government · FED</div></div><div class='ecard-header-right'><span class='badge badge-active'>Active Signal</span></div></div><div class='ecard-signals'><div class='signal-item'><div class='signal-title'>OSHA deploying AI tools to predict high risk workplaces by FY 2027</div><div class='signal-body-text'>The Department of Labor is planning the OSHA Data Enterprise Enhancement Project (ODEEP) to deploy AI and Machine Learning tools for identifying workplace risk trends and predicting high-risk facilities, with platform development beginning by FY 2027. Organizations providing training and validation data for AI applications can address critical needs for model development and accuracy. No RFP has been issued; this is pre-solicitation intelligence.</div></div><div class='signal-item'><div class='signal-title'>AI-powered workplace safety data accelerates risk identification</div><div class='signal-body-text'>The Department of Labor's ODEEP initiative requires substantial data infrastructure investment to operationalize AI/ML capabilities across federal workplace safety operations. Organizations supplying validated training datasets can directly reduce the Department's implementation timeline and deployment costs while ensuring regulatory compliance frameworks are embedded from system inception.</div></div></div><div class='ecard-contacts'><div class='ecard-contacts-label'>Key Contacts · 4 verified by Pursuit</div><div class='contact-list'><div class='contact-row'><div class='contact-info'><span class='contact-name'>Amanda Wood Laihow</span><span class='contact-title'>Deputy Assistant Secretary</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Jeff Fisher</span><span class='contact-title'>Director Division of Business Transformation and Product Management</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Karen Livingston</span><span class='contact-title'>Director Division of Strategic Planning and Performance</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Cecimil Maldonado</span><span class='contact-title'>Director Division of Administration</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div></div></div><div class='ecard-footer'><a class='ecard-source-link' href='https://www.dol.gov/sites/dolgov/files/general/budget/2027/CBJ-2027-V2-12.pdf#page=82' target='_blank'>View source · 2027-09-30</a><span class='ecard-timing'>⏱ Pre-RFP — no solicitation issued</span></div></div>
<div class='ecard'><div class='ecard-header'><div><div class='ecard-name'>Federal Maritime Commission</div><div class='ecard-meta'>County Government · FED</div></div><div class='ecard-header-right'><span class='badge badge-watch'>Watch</span></div></div><div class='ecard-signals'><div class='signal-item'><div class='signal-title'>Piloting tariff and surcharge compliance projects using AI and language models</div><div class='signal-body-text'>The Federal Maritime Commission is piloting projects to ensure carriers comply with tariff and surcharge regulations using AI and large language models for automated monitoring and validation. Organizations providing training and validation data for AI applications can support these compliance initiatives by supplying high-quality datasets to improve model accuracy. No RFP has been issued; this represents pre-solicitation market activity.</div></div><div class='signal-item'><div class='signal-title'>Validate AI training data for maritime compliance automation</div><div class='signal-body-text'>The Federal Maritime Commission's tariff compliance pilots address costly penalties and operational disruptions carriers face from surcharge announcement delays and posting errors. By automating regulatory validation, the Commission reduces carrier exposure to enforcement actions while improving market transparency—creating immediate business value through risk mitigation and operational efficiency.</div></div></div><div class='ecard-contacts'><div class='ecard-contacts-label'>Key Contacts · 2 verified by Pursuit</div><div class='contact-list'><div class='contact-row'><div class='contact-info'><span class='contact-name'>Mohammad Usman</span><span class='contact-title'>Chief Information Officer</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Amy Strauss</span><span class='contact-title'>Acting Director</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div></div></div><div class='ecard-footer'><a class='ecard-source-link' href='https://www.fmc.gov/wp-content/uploads/2026/04/FMC-FY2027-Congressional-Budget-Justification.pdf#page=13' target='_blank'>View source · 2027-09-30</a><span class='ecard-timing'>⏱ Pre-RFP — no solicitation issued</span></div></div>
<div class='ecard'><div class='ecard-header'><div><div class='ecard-name'>General Services Administration</div><div class='ecard-meta'>County Government · FED</div></div><div class='ecard-header-right'><span class='badge badge-hot'>High Intent</span></div></div><div class='ecard-signals'><div class='signal-item'><div class='signal-title'>USAi secure generative AI evaluation suite deployed across 15 pilot agencies</div><div class='signal-body-text'>The General Services Administration has established USAi, a secure generative AI evaluation suite now deployed across 15 pilot agencies, signaling active investment in AI governance and testing. Organizations selling training and validation data for AI applications can address critical needs for these agencies to safely evaluate and operationalize generative AI. No RFP has been issued; this is pre-solicitation intelligence.</div></div><div class='signal-item'><div class='signal-title'>AI training data validation accelerates federal agency modernization</div><div class='signal-body-text'>The General Services Administration's USAi deployment across 15 pilot agencies creates immediate budget allocation pressure as these agencies compete for qualified training datasets to accelerate AI readiness. Early data partnerships with these pilots establish procurement precedent and expand addressable market as successful evaluations drive broader agency adoption and budget commitments.</div></div></div><div class='ecard-contacts'><div class='ecard-contacts-label'>Key Contacts · 5 verified by Pursuit</div><div class='contact-list'><div class='contact-row'><div class='contact-info'><span class='contact-name'>Ryan Dolan</span><span class='contact-title'>Director, Ai Centers of Excellence</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Jeff Koses</span><span class='contact-title'>Senior Procurement Executive</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Edward Forst</span><span class='contact-title'>Administrator</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Paul Bowen</span><span class='contact-title'>Director - Gwac Program</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div><div class='contact-row'><div class='contact-info'><span class='contact-name'>Lawrence Unger</span><span class='contact-title'>Aas Director</span></div><div class='contact-data-hints'><span class='data-hint'>Email</span><span class='data-hint'>Phone</span></div></div></div></div><div class='ecard-footer'><a class='ecard-source-link' href='https://www.gsa.gov/system/files/GSA%20FY%202027%20Congressional%20Justification.pdf#page=129' target='_blank'>View source · 2027-09-30</a><span class='ecard-timing'>⏱ Pre-RFP — no solicitation issued</span></div></div>