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Striveworks

3 viewers · 30d

Total raised

$18.0M

+$18.0M this year

1 filing since 2026 · latest Equity filed

Cumulative raised
LAST ROUND
Equity · $18.0M
ROUNDS
1
INVESTORS
1
FOUNDED
N/A
HQ
Austin, TX
SECTOR
AI
EMPLOYEES
N/A
30D VIEWERS
3

AI overview

Updated

Striveworks is an Austin, Texas company that builds an AIOps/MLOps platform for organizations that need to deploy and maintain machine learning models in operational environments. Its Chariot platform lets teams build, launch, monitor, audit, and retrain models — the company markets this as going from months to hours, with one-click deployment. The platform emphasizes model governance and traceability, cloud-to-edge deployment into disconnected and compute-constrained environments, and multi-domain sensor fusion across satellite imagery, edge video, and electronic intelligence. Its primary customers are US defense and government agencies, including the Army, Navy, and combatant commands.

What sets it apart

Model operations built for disconnected, contested environments — Chariot deploys and updates models from cloud to edge with full audit traceability, which is what lets it be accredited for classified defense workloads rather than only commercial cloud deployments.

Funding history

1 round
EquityMar 9, 2026
Form D
+$18.0M$18.0M total

Latest SEC filings

via EDGAR · CIK 0001979361
Form D · Mar 9, 2026View on EDGAR

Products

1 tracked

Chariot

Machine learning operations platform

An AIOps/MLOps platform, marketed as 'the command center for enterprise AI', that provides a workbench for building, deploying, monitoring, auditing, and retraining machine learning models, originally aimed at unstructured data workloads such as computer vision and NLP.

  • Automated AIOps with one-click model deployment and adaptive retraining
  • Model governance: traceability and observability across the development lifecycle and into production
  • Cloud-to-edge deployment into disconnected and compute-constrained environments with remote updates
  • Dynamic routing that sends each request to the best-performing model for the data modality