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Platform to automate manual back-office work
Velos helps non-technical operations teams automate complex, manual back-office tasks with AI workers instead of overseas teams. Unlike traditional robotic process automation (RPA) platforms like UiPath, Velos automations use machine learning to reliably handle ambiguities in their tasks, eliminating the need for an army of maintenance engineers and consultants to build and maintain your automations. We're automating the repetitive work people hate to do.
Velos provides AI-driven automation designed to take over back-office grunt work, aiming to replace manual processes with scalable automations. It emphasizes handling the full lifecycle of automations (design, deployment, management) so teams without engineers can implement custom workflows.
Velos designs, develops, and implements automations that mirror existing back-office processes. It handles the full lifecycle—from onboarding and strategy through automation build-out, QA, launch, and continuous optimization—so customers can automate reconciliation, document digitization, gross margin reporting, and other repetitive tasks without building or maintaining tools themselves.
Who it’s for: Finance and insurance teams and other back-office-centric operations seeking to automate manual, repetitive processes without relying on in-house engineering.
funding mentions (backed by YCombinator), partnerships/awards (NVIDIA Inception Program), customer use case testimonials
No founder data available for this company.
GradientJ helps product teams deploy large language models at scale. Companies use us to create GPT3 applications and monitor them in production.
GradientJ provides a web application to build, compare, and deploy prompts for large language models (GPT-3), targeting product teams new to LLMs and teams already using LLMs who want faster iteration and better cost/performance tracking. It offers prompt suggestions, versioning and benchmarking, and one-click deployment to a private API with cost/performance monitoring.
From the original launch (Jan 2023) — may be outdated.
Formerly “GradientJ” · why startups rename →

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