Opslyft Context-Led Cloud Optimisation

Opslyft, Inc. lists its address in San Francisco and serves engineering and finance teams, with customer logos including Freshworks, HDFC Life, Groww, Zenoti, LambdaTest and Xactly. It addresses the gap between raw cloud bills and business context, where incomplete tags and shared resources make waste and ownership hard to identify.

The platform brings AWS, Azure, Google Cloud, Oracle Cloud, Kubernetes, Snowflake and OpenAI or LLM workloads into one workspace with FOCUS 1.2 support. A Cloud CMDB infers ownership from the resource graph, enabling AI-powered allocation of shared spend by team, project or customer without perfect tagging. Modules cover showback, chargeback, forecasts and budgets, RI and Savings Plan automation, idle-resource optimization, AI cost tracking per token, inference and customer for OpenAI, Anthropic, Bedrock, Vertex AI and Azure OpenAI, plus anomaly detection with root-cause explanations. Users can query costs through ChatGPT for Cloud, the Iris agent or an MCP server.

• Cloud CMDB: Infers resource ownership from the resource graph to put costs in business context.
• AI-powered allocation: Splits shared spend by team, project or customer without perfect tags.
• Governance: Provides showback, chargeback, forecast versus actual and budgets.
• Commitment and waste optimization: Automates RIs and Savings Plans and cleans up idle resources.
• AI FinOps: Tracks token, GPU and LLM costs per inference, agent run and customer.
• Conversational access: ChatGPT for Cloud, the Iris agent and an MCP server answer cost questions.

A Vietnamese securities or fintech app on AWS can allocate shared infrastructure costs per product line. An insurer running Snowflake and Azure can set budgets and track forecast accuracy. A SaaS company can measure LLM cost per customer to price AI features.

The company reports typical savings of 20-35% after the first optimization pass, a median time to value of 8 days and 92% forecast accuracy. Context-based recommendations aim to be safer than generic policy rules because they account for business ownership. Allocation without a tagging policy reduces the manual effort of chargeback. A free 14-day pilot lets buyers test before committing.

Fast-growing Asian SaaS, fintech and insurance companies, such as those in Opslyft's customer list, are moving from basic cost dashboards to allocation and unit economics. AI and LLM workloads add a new spend category, and conversational FinOps tools lower the barrier for finance teams in markets like Vietnam.

Opslyft, Inc., Suite 403, 550 Battery Street, San Francisco. Displays ISO 27001 and SOC 2 Type II, FinOps Foundation membership and Linux Foundation Silver membership. G2 rating 4.8/5 per the site. Founded year and funding are not stated on the fetched pages.