SHINEPORT INNOVATIONS PRIVATE LIMITED

In their own words

Traceport is built to solve the challenges companies face when AI moves from prototypes to production. Most teams today use multiple AI providers and models, which leads to heavy client-side development just to manage routing, retries, fallbacks, guardrails, and agentic orchestration. These systems are expensive to build, hard to maintain, and offer little visibility into performance or spend. As AI adoption becomes standard and providers reduce cost subsidization, companies are exposed to rising and unpredictable AI costs without the tooling to control or optimize them. Traceport replaces fragmented in-house solutions with a unified AI control plane. It enables intelligent multi-provider routing, centralized policies, and built-in guardrails, while providing deep observability across logs, metrics, and traces at the request, token, and workflow level. Cost savings are achieved through response caching, price and latency aware routing, early failure detection, and continuous monitoring that highlights wasted tokens, inefficient retries, and underperforming workflows. Teams gain clear visibility into where AI spend is occurring and how to reduce it. A visual workflow builder allows rapid creation and deployment of agentic workflows that combine model calls, tool usage, validations, retries, caching, and fallbacks without embedding orchestration logic into application code. This reduces development effort, speeds up deployments, and makes AI systems easier to evolve as models and providers change. Built as a cloud-native, multi-tenant platform, Traceport scales to high-volume production workloads. It monetizes through usage-based and enterprise subscriptions aligned with customer value, delivering measurable cost savings, faster iteration, and long-term value creation through reliable and sustainable AI infrastructure.

Written by the company on its public Startup India profile. Not verified by us.