Blog
Business cases for AI governance and hands-on technical guides for building with MultiMind SDK.
Latest
Inside MultiMind SDK: One API, Every Model, Compliance by Default
What MultiMind SDK actually does — a tour of the multi-model interface, the compliance layer, RAG and agents, and why it wraps your existing stack instead of replacing it.
July 14, 2026
Running MultiMind SDK on AWS, Azure, and GCP
You don't need a different SDK per cloud. Here's how MultiMind's proxy pattern applies to AWS Bedrock, Azure OpenAI, and GCP Vertex AI — plus fully on-prem with Ollama.
July 14, 2026
Why AI Adoption Stalls Without Compliance Built In
Most enterprise AI pilots don't die from bad models — they die in the handoff to legal, security, and compliance review. Here's why governance has to be runtime infrastructure, not a document.
July 14, 2026
For business & platform teams
How AI Infra and Cloud Platforms Can Offer Compliance-Ready AI as a Managed Service
Infra and cloud providers selling AI capacity are increasingly asked for compliance guarantees they don't have a product answer for. Embedding a governance layer changes that conversation.
July 14, 2026
Build vs. Buy: The Real Cost of AI Compliance Tooling
PII redaction, audit logging, and evidence reporting look like a two-week internal project. Here's what usually gets missed when teams scope it that way.
July 14, 2026
EU AI Act Readiness Checklist for AI Product Teams
A practical, evidence-based checklist for what you actually need before an EU AI Act conversation with legal or a regulator — not legal advice, just the artifacts that matter.
July 14, 2026
What Healthcare and Finance Leaders Need Before Piloting LLMs in Production
The technical questions a healthcare or finance leader should be able to answer before an LLM pilot touches real patient or customer data — and how to answer them without slowing the pilot down.
July 14, 2026
Vendor Lock-In Is an AI Risk Too: Why Model Portability Matters to the Business
Pricing changes, deprecations, and outages are business risks, not just engineering inconveniences. Here's why model portability belongs in the same risk conversation as compliance.
July 14, 2026
For developers
Persistent Memory: Giving Your AI Agents a Second Brain
Stateless LLM calls forget everything between sessions. Here's what changes when agents remember — and how memory, portable context, and RAG combine into a second brain that lives on your own infrastructure.
July 15, 2026
Deploying the MultiMind Compliance Proxy in Docker for a Zero-Code-Change Rollout
Running multimind serve as a sidecar container so an existing application gets PII redaction, budgets, and audit logging without touching its code.
July 14, 2026
Generating EU AI Act Evidence Reports from Your Existing Logs
A walkthrough of multimind compliance report-evidence: what it reads, what it produces, and how to keep the output honest instead of overclaiming.
July 14, 2026
Building a Multi-Model Fallback Router with MultiMind SDK
A worked example of routing a request across providers with fallback on error, using MultiMind's shared async model interface — no per-provider branching.
July 14, 2026
Redacting PII in Production LLM Calls: A Deep Dive into MultiMind's Guard
How the guard() wrapper actually changes what a model provider sees, what block_on and strategy control, and how to check what happened after the fact.
July 14, 2026
Building a RAG Pipeline with Cost Budgets and Audit Trails
Standing up a RAG pipeline with MultiMind, and why the same governance concerns from single-call generation — budget, audit — don't go away just because retrieval is in the loop.
July 14, 2026