Introduction
Amper Technologies is headquartered in Chicago, United States founded in 2016 and is covered in Brel’s AI in Manufacturing sector. Leadership referenced in company materials includes Akshat Thirani.
Public company materials describe the firm as building AI software for manufacturing workflows. Brel’s working summary of the product scope: Provides machine monitoring systems that use machine learning to evaluate machine utilization via energy telemetry.
This profile uses only company-linked sources captured during the 2026-07-10 import review. Funding, valuation, headcount, and ranking claims from third-party listicles are omitted unless a company-specific URL in the source list supports them.
What the company does
Amper Technologies positions its product around the following use case: Measures electrical signals from machine power cords to track downtime causes and cycle efficiency. Secondary focus noted in research intake: Predictive Analytics.
Buyers should treat vendor marketing claims as unverified until confirmed in a live evaluation against their own data, compliance, and integration requirements.
Who it serves
Stated buyers and users include: Plastics stamping machining and general discrete manufacturing plants
Procurement teams should confirm whether the deployment model (SaaS, on-prem, hybrid) and data-residency options match their sector obligations before pilot expansion.
Company background
Amper Technologies operates from Chicago, United States. Company materials cite 2016 as the founding year. Akshat Thirani is listed as founder or CEO in the intake sources used for this profile.
Brel does not infer prior employers, investor syndicates, or competitive rankings without a company-specific citation.
Product and AI capabilities
Within Manufacturing AI, Amper Technologies concentrates on: Measures electrical signals from machine power cords to track downtime causes and cycle efficiency.
Exact model architecture, training data rights, and evaluation harnesses are rarely fully disclosed on marketing pages — request technical documentation during vendor diligence.
Key developments
Recent development noted in intake (verify on the linked company page before citing externally): Expanded factory floor dashboards to incorporate automated text reason logging for machine stops.
Why it matters
Amper Technologies matters for Brel readers tracking Manufacturing AI because it represents an active vendor in this category with a verifiable public website and company-linked documentation. Its stated focus — Measures electrical signals from machine power cords to track downtime causes and cycle efficiency. — is a concrete buying motion teams can compare against peers in the same sector hub.
Use the AI in Manufacturing hub to compare adjacent profiles; do not treat directory presence as an endorsement.
Sector context
Amper Technologies is filed under Brel’s AI in Manufacturing coverage, with secondary theme Predictive Analytics. Country taxonomy reflects headquarters (United States), not customer geography.
Sources and references
Primary references used for this profile:
- Amper Technologies — official source — https://www.amper.xyz/platform
- Amper Technologies — supporting company page — https://www.amper.xyz/
Last reviewed 2026-07-10. Request a correction via the form linked on this page if a fact is outdated.