Mydatagent offers a private, Brazil‑hosted large language model (LLM MDA 2.1) with 32 billion parameters and 256k token context, fully compliant with LGPD. Companies can run AI agents on this fixed‑price, per‑user subscription (starting at R$ 89/month) with built‑in RBAC, audit logs, and low‑latency performance, eliminating the unpredictable costs and data‑sovereignty risks of public AI APIs.
Funding
Funding not disclosed
Founders
Product
Problem
Companies relying on public AI APIs face unpredictable, high token‑based costs and have no control over where their data is processed, exposing them to LGPD compliance risks and lack of data sovereignty.
Solution
MyDatAgent offers a private large language model, MDA 2.1, with 32 billion parameters and 256 k token context, hosted exclusively in Brazilian Tier III+ data centers. The service is priced per user in Brazilian reais, providing predictable monthly spend and eliminating token‑based overages. Built‑in LGPD compliance includes immutable audit logs, RBAC, right‑to‑be‑forgotten workflows, and pre‑configured DPIAs, ensuring full data sovereignty. The platform supplies a visual builder, REST API compatible with OpenAI clients, and native tool integrations for rapid agent creation and deployment within seven business days. Real‑time observability lets IT leaders monitor usage, performance (average 2.4 ms latency), and policy enforcement across departments.
Target Audience
Primary customers are mid‑size Brazilian enterprises—particularly CTOs, CIOs, and data leaders—seeking cost‑predictable, compliant AI solutions for internal automation and knowledge‑intensive workflows.
Features
- 32 B parameter proprietary LLM with 256 k token context for processing long documents in a single request
- Fixed‑price per‑user licensing (R$ 89–110 / user / month) with volume discounts, eliminating variable token fees
- 100 % Brazilian data‑center hosting guaranteeing LGPD‑by‑design compliance and data never leaves Brazil
- Granular RBAC, immutable audit logs, and customizable guardrails for secure, governed AI interactions
- RESTful API with OpenAPI spec and SDKs (Python, Node, Java) offering drop‑in compatibility with OpenAI clients
- Visual agent builder and MCP toolsets for rapid RAG, fine‑tuning, and integration of enterprise data sources
- Real‑time observability dashboard with latency metrics, usage traces, and policy compliance monitoring