Hubstaff is a time tracking software that helps teams log hours, monitor productivity, and automate payments — whether remote, hybrid, in-office, or field-based.
Available on desktop, web, and mobile, Hubstaff enables employees to track time against specific tasks and projects from anywhere. Managers get built-in visibility through app and URL usage data, activity rates, and optional screenshots — all configurable by user role.
Designed for global, growing and distributed teams, Hubstaff includes built-in productivity monitoring and workforce analytics to help businesses analyze how time is spent, identify inefficiencies, and improve performance — without micromanagement.
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FinOpsly is an AI Cost Governance platform. It brings AI, cloud, data platform and SaaS spend into one attribution, policy and control layer, so enterprises can price a workload before building it, attribute every dollar to an owner, hold spend inside budget under policy, and prove what landed in run-rate.
Your AI invoice is not what your AI costs. One request draws on model tokens, retrieval, warehouse queries, GPU capacity and storage, and only the first shows up on the AI bill. FinOpsly resolves all of it, plus the seats in procurement and the compute in an untagged cloud account, to the same dimensions: owner, team, application, line of business, customer and tenant. An AI initiative's full cost becomes one figure, charged back through one hierarchy in one cycle.
Workforce AI is the tools employees use: seats and per-user token draw across GitHub Copilot, Cursor, ChatGPT Enterprise and Microsoft 365 Copilot. Application AI is the AI your product ships: tokens, compute and data joined into cost-to-serve across OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex AI, SageMaker and Databricks.
PLAN. Price a workload from its architecture before any resource exists, across model APIs, GPU capacity, data platform consumption and storage, with assumptions visible. Compare it across candidate models on your measured usage.
EXPLAIN. Attribute spend to owner, team, application, line of business and business unit across 9+ hierarchy levels. Unified tagging reconciles providers that tag inconsistently, and AI-driven bulk labeling closes large key estates. Unattributed spend is reported in dollars.
ACT. Budgets per project, team and API key, with daily burn-rate monitoring. Anomaly detection with root cause, routed to the owner. Waste detection using FinOpsly's own algorithms and ML models. Commitment planning across AWS, Azure and Google Cloud. Policy-driven parking of idle compute.
PROVE. Chargeback across AI, cloud, data and SaaS in one cycle. Realized savings tracked into run-rate against a no-action baseline. Cost per call, cost per active user, and cost-to-serve per customer and tenant.
proof: 100% attribution of AI spend; chargeback from 12.4 days to under one day across 9+ levels; 26% realized savings in AWS and 17%+ in Azure at a payments client.
Built for CIOs, CTOs and platform leaders accountable for technology spend, FinOps and finance teams running chargeback, and engineering teams who need cost signal before they decide
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Massdriver
Massdriver is an internal developer platform and platform orchestrator. Platform teams publish the Terraform, OpenTofu, and Helm they already write to a catalog; developers and AI agents provision from it with policy enforced before every deploy. Self-hosted or managed.
Platform and operations teams encode their security, compliance, and cost requirements into pre-approved modules using the IaC tools they already use. Developers and AI agents discover and provision those modules from a central catalog, and policy is checked before anything is created. Built-in secrets management, monitoring, and attribute-based access control cover AWS, Azure, GCP, and Kubernetes.
Massdriver generates an ephemeral pipeline per deploy from each module's own tooling, so there are no standing CI/CD pipelines to maintain. Run it self-hosted, on-prem, or in your cloud, or let Massdriver manage it for you.
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