Offers an enterprise-grade context platform that equips AI agents with extended memory and cross‑source context using a single line of code.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents often struggle with limited memory and fragmented access to diverse data sources, requiring developers to build and maintain complex infrastructure for context retrieval and storage. This results in prolonged development cycles and suboptimal agent performance.
Solution
Mielto offers an enterprise-grade Context as a Service platform that provides AI agents with extended memory and cross‑source context through a single line of code. The platform continuously ingests data from any source, indexes it with high‑performance retrieval engines, and makes the relevant context available to agents in real time. By abstracting the underlying storage and retrieval layers, Mielto eliminates months of engineering effort, enabling developers to deploy production‑ready memory and context capabilities within minutes. The service is designed for scalability and customization, allowing organizations to tailor indexing strategies and retention policies to their specific use cases.
Target Audience
Primary customers are AI developers and product teams at fast‑growing startups and large enterprises building context‑aware conversational agents, recommendation systems, or autonomous assistants.
Features
- One‑line SDK integration that provisions full‑stack memory and context services without custom infrastructure
- Continuous data ingestion pipelines supporting arbitrary data sources (databases, APIs, file stores, etc.)
- High‑throughput indexing and semantic retrieval engine optimized for low‑latency context lookup
- Configurable retention and relevance policies for enterprise‑grade data governance
- Self‑improving memory module that updates context embeddings as new information arrives
- API endpoints for real‑time context queries and batch retrieval, compatible with major LLM providers