Contractor profile

Semanticbits LLC

FY2022 · complete year · data as of 2026-07-11

No FY2026 activity recorded for this recipient. Showing FY2022, its most recent year with data.

prime recipient of federal awards · UEI C4KLXJ2N4G91 Source
$138.5M
Obligated
FY2022
2
Funding agencies
92%
From Health and Hum…
0%
Non-competed
4
States
87%
In Virginia
3
Industries

In FY2022, Semanticbits LLC received $138.5M in federal awards from 2 agencies, 92% of it from the Department of Health and Human Services, with 87% of the work performed in Virginia. Computed

Where this money comes from

Source
FUNDING AGENCIES
SEMANTICBITS LLC
HHS
$0.1B
1 other agencies
$0B
Semanticbits LLC
$0.1B
FY2022 obligated
band width = obligations · FY2022 · source: USASpending.gov

Where the work lands

Source
Virginia$120.2M
Maryland$12.3M
California$330.4K

Key takeaways

Computed
FY2022 · complete year · data as of 2026-07-11
  • Semanticbits LLC received $138.5M in federal obligations in FY2022.
  • The Department of Health and Human Services accounted for 92% of it.
  • Its largest recorded industry was Other Computer Related Services, at $137.6M.
  • Virginia was its largest place of performance, with 86% of the work.

Awards

Source

Largest active awards by total value

Awards whose period of performance overlaps FY2022, by the amount obligated on each so far.

No award on record was active in FY2022.

Largest FY2022 awards

Awards that started in FY2022, by the amount obligated on each so far.

No award on record started in FY2022.

Competition

0%non-competed (often called no-bid), of $138.5M in contract obligations in FY2022Computed

This describes how contracts were awarded, not wrongdoing.

Corporate family

Single registration: no combined family.

Related

Why the labels? The graph is only worth anything if the links are trusted. Facts taken straight from a federal filing are Source; figures we calculate are Computed; links we infer (corporate parents, districts, similar contractors, connections between records) are Inferred, worded carefully, never asserted as fact and never a claim that one thing caused another. Spot an error? Tell us.