Cloptima
Cloptima is an AI and cloud FinOps platform that brings LLM spend governance, multicloud cost intelligence, Kubernetes optimization, query analysis, and engineering cost controls into one operating model. Its AI gateway lets teams use their own OpenAI, Anthropic, Gemini, Vertex AI, and Amazon Bedrock credentials behind encrypted controls, then apply virtual keys, model policies, token limits, budgets, guardrails, and attribution before calls reach providers. Spend analytics break down usage by provider, model, team, application, environment, user, agent session, tool, workflow, and dimensions, while agent controls track retries, loops, tool calls, and runaway-cost risk. Exact and semantic response caching can reduce repeated usage, and intelligent routing can shift eligible traffic to cheaper or faster models with canary rollout and rollback if quality, latency, or errors regress.
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Spendline
Spendline is a hosted AI gateway and cost-management tool for software companies that offer AI features in their products. It routes model requests through a gateway and records usage and cost by customer and agent, helping engineering and finance teams compare AI spend with customer revenue. Teams can set nested budgets for companies, teams, agents, and customers; configure alerts and approval workflows; and apply rules to route requests to lower-cost models. Spendline also provides usage reporting and month-end checks that compare recorded usage with provider invoices. The service supports multiple model providers and offers controls for managing AI usage across customer-facing applications.
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Formal
Formal is a protocol-aware reverse proxy that secures access to databases, APIs, infrastructure, and AI tools by enforcing least privilege at the wire-protocol level. Deployed as a single stateless binary in a VPC through Terraform, Kubernetes, or Docker, it sits between identities and resources without application changes, SDKs, or agents. Formal parses more than 15 protocols, including PostgreSQL, MySQL, MongoDB, Snowflake, SSH, Kubernetes, HTTP, MCP, S3, Redis, RDP, BigQuery, ClickHouse, and DynamoDB, allowing query-level decisions instead of generic network filtering. Policies can authenticate and authorize users, mask or filter fields, rewrite requests, block actions, require MFA, quarantine sessions, suspend access, or support impersonation across session, request, and response stages. Teams can secure AI agents and MCP servers by stripping PII before it reaches a model, blocking unauthorized tool calls, and auditing every action.
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MudraID
MudraID is a cloud-based identity and trust platform for teams building AI agents, APIs and agent-enabled services. It gives agents distinct cryptographic identities, supports scoped and time-limited delegation, and checks requests against policy, trust and revocation state at action time. Teams can issue, rotate, suspend and revoke agent credentials, enforce per-action permissions, and trace delegation chains. The platform supports OAuth 2.0, OIDC, JWT/JWKS, MCP authorization and signed A2A Agent Cards. Developer options include a Python agent SDK and FastAPI/Starlette middleware; a hash-chained audit trail records decisions and related events. MudraID is intended for product, platform, security and IAM teams that need to govern agent-to-agent and agent-to-service interactions.
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