Opper AI
Opper provides an end-to-end platform that enables developers to build and deploy production-grade generative AI applications using a unified API for structured LLM calls, data indexing, and retrieval. The platform enhances AI interaction visibility and optimizes model performance through automated evaluations, addressing the complexities of integrating and managing AI features efficiently.
- Artificial Intelligence
- Developer Tools
- Software Only
Funding
Raised to date
$3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
GC$3M · Pre-Seed
Announced Jul 2025
Disclosed cumulative: $3M
Founders
Product
Problem
Developing production-grade generative AI applications requires managing complex integrations for structured LLM calls, data indexing, and model optimization. Integrating and maintaining these AI features can be inefficient and lack visibility, hindering performance and increasing development overhead.
Solution
Opper provides a unified platform designed to streamline the development and deployment of generative AI applications. The platform offers a structured API for interacting with various LLMs, simplifying the process of building AI-powered features, chatbots, and agents. It facilitates the integration of proprietary data through indexing and retrieval capabilities, while maintaining full integration control. Opper also enhances AI interaction visibility and optimizes model performance through automated evaluations and real-time tracing of sessions, calls, and outputs.
Target Audience
Opper is designed for developers and product teams building generative AI features, chatbots, and agents, particularly those requiring secure, compliant, and scalable solutions.
Features
- Unified API for structured LLM calls, supporting frontier, open-source, and multimodal models
- Data indexing and retrieval capabilities for integrating proprietary knowledge
- Real-time tracing of AI interactions, including sessions, calls, outputs, and costs
- Automated LLM tuning with Opper Functions for optimizing quality, security, cost, and speed
- Built-in compliance with GDPR, SOC2, DORA, and EU regulations
- TypeScript and Python SDKs for rapid integration