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Postal Service

RFI - Agentic AI and Advanced GenAI Training Support Services

Solicitation: 6HQOIG-26-A-0003
Notice ID: 325ab8460d414903a8809ffe08ccb41a
TypeSources SoughtNAICS 61143PSCU008DepartmentPostal ServiceStatePAPostedJan 09, 2026, 12:00 AM UTCDueJan 21, 2026, 08:00 PM UTCExpired

Sources Sought from POSTAL SERVICE • POSTAL SERVICE. Place of performance: PA. Response deadline: Jan 21, 2026. Industry: NAICS 61143 • PSC U008.

Market snapshot

Baseline awarded-market signal across all contracting (sample of 400 recent awards; refreshed periodically).

12-month awarded value
$964,691,384
Sector total $964,691,384 • Share 100.0%
Live
Median
$107,325
P10–P90
$28,414$4,168,590
Volatility
Volatile200%
Market composition
NAICS share of sector
A simple concentration signal, not a forecast.
100.0%
share
Momentum (last 3 vs prior 3 buckets)
+100%($964,691,384)
Deal sizing
$107,325 median
Use as a pricing centerline.
Live signal is computed from awarded notices already observed in the system.
Signals shown are descriptive of observed awards; not a forecast.

Related hubs & trends

Navigate the lattice: hubs for browsing, trends for pricing signals.

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Map for PA
Live POP
Place of performance
Not listed
State: PA
Contracting office
Philadelphia, PA • 19197 USA

Point of Contact

Name
Farzad Afrasiabi
Email
fafrasiabi@uspsoig.gov
Phone
Not available

Agency & Office

Department
POSTAL SERVICE
Agency
POSTAL SERVICE
Subagency
SUPPLIES MATERIAL MGMT
Office
Not available
Contracting Office Address
Philadelphia, PA
19197 USA

More in NAICS 61143

Description

https://api.sam.gov/prod/opportunities/v1/noticedesc?noticeid=325ab8460d414903a8809ffe08ccb41a

Files

Files size/type shown when available.

BidPulsar Analysis

A practical, capture-style breakdown of fit, requirements, risks, and next steps.

Updated: Jan 10, 2026
Executive summary

The Postal Service is seeking input related to Agentic AI and Advanced GenAI Training Support Services through a Sources Sought notice. This request aims to identify potential vendors capable of delivering innovative training solutions in the field of AI and machine learning.

What the buyer is trying to do

The buyer is looking for advanced training support services for AI technologies, specifically in understanding and implementing Agentic AI and generative AI models. This may involve skill development for existing staff and creating frameworks for adopting these technologies effectively.

Work breakdown
  • Conducting training needs assessment for Agentic AI and GenAI technologies
  • Developing customized training programs and materials
  • Delivering workshops and seminars for staff
  • Evaluating training effectiveness and providing feedback
  • Updating training content based on technological advancements
Response package checklist
  • Company profile and core competencies
  • Past performance on similar contracts
  • Team qualifications and experience
  • Detailed service delivery methodology
  • Cost proposal and pricing structure
Suggested keywords
Agentic AIGenerative AIAI Training SupportAdvanced Technology EducationFederal Training Services
Source coverage notes

Some notices publish limited source detail. Confirm these points before final bid/no-bid decisions.

  • Detailed scope of work for training services is not provided
  • Specific metrics for success are unclear
  • There are no clarifications on the format of training (in-person vs. virtual)
  • Information on the current competency level of staff is missing
  • Timelines for implementation or ramp-up periods are not specified

FAQ

How do I use the Market Snapshot?

It summarizes awarded-contract behavior for the opportunity’s NAICS and sector, including a recent pricing band (P10–P90), momentum, and composition. Use it as context, not a guarantee.

Is the data live?

The signal updates as new awarded notices enter the system. Always validate the official award and solicitation details on SAM.gov.

What do P10 and P90 mean?

P10 is the 10th percentile award size and P90 is the 90th percentile. Together they describe the typical spread of award values.