Marginal
Marginal provides AI spend observability by tracking the cost of every LLM call and slicing it by customer, feature, and model.
At a Glance
- AI-native startups
- Engineering teams building LLM-powered features
- Companies using multiple LLM providers
AI Tools by Marginal
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Marginal
LLM Cost Observability SDK
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Products & Services
A dashboard for tracking AI/LLM costs, providing visibility into spend by customer, feature, and model.
Zero-dependency TypeScript and Python SDKs for fire-and-forget event tracking of LLM calls.
A JSON-based API for sending cost events from any programming language.
Market Position
Marginal differentiates itself by performing cost computation server-side against a daily-updated price catalog, removing the need for developers to maintain pricing snapshots or token math in their codebase. It emphasizes developer experience with zero-dependency, fire-and-forget SDKs.
Leadership
Founders
Jithin Lal K
Software engineer with over 7 years of experience building backend systems and AI applications. Previous roles include Senior Software Engineer at Beem and Induced, and Software Engineer at Teachmint and Cisco. B.Tech in Computer Science from Government Engineering College Thrissur.
Executive Team
Jithin Lal K
Founder
Experienced backend and AI engineer who previously worked at Beem, Induced, Teachmint, and Cisco.
Founding Story
Created to solve the challenge of attributing AI costs to specific product usage and answering why AI bills are high by providing granular cost tracking without requiring developers to maintain complex pricing logic or perform token math in their own code.
Business Model
Revenue Model
SaaS platform for AI cost observability.
Target Markets
- AI-native startups
- Engineering teams building LLM-powered features
- Companies using multiple LLM providers
- AI cost observability
- Customer-level AI spend attribution
- Feature-level ROI analysis
- Debugging AI API integration costs
- Monitoring LLM usage spikes