LangChain is a full-stack platform that lets developers build and run context-aware, reasoning apps. It's got a range of products, including LangSmith for monitoring performance and LangServe for API deployment, so it's a good fit for financial services, FinTech and tech companies. LangChain can consume multiple APIs and private sources, so you can build future-proof, vendor-agnostic solutions. Plans range from a free tier to paid options starting at $39 per user per month.
If you want to build and run big AI agents and systems, check out Abacus.AI. The platform uses generative AI and neural network technology to build LLM apps, AI agents and other predictive systems. It's got features like ChatLLM for building end-to-end RAG systems and AI Agents for automating complex workflows. It's also got a range of predictive and analytical abilities like forecasting and anomaly detection, so it's good for customer service and business optimization.
Another contender is GradientJ. It's geared for Large Language Model teams, offering tools to ideate, build and manage LLM-native apps. It's got an app-building canvas that learns from you, making it easier to build complex apps. GradientJ also covers a range of use cases, from smart data extraction to HR chatbots and automation, and makes it easier to maintain next-gen AI apps.