90mix is a next generation AI workflow platform designed for teams that need fast, reliable experimentation with large language models. It combines an intuitive interface with robust infrastructure so product builders can prototype, test, and iterate AI features without managing complex deployments.
Built for both technical and non-technical users, 90mix provides guardrails, versioned prompts, and detailed execution logs to help organizations move from ad hoc demos to production grade AI applications.
Platform Capabilities Overview
Instead of presenting a wall of text, the core features of 90mix are summarized in the table below, which highlights how the platform supports different roles, models, and deployment scenarios.
| Primary Role | Key Capabilities | Model Support | Deployment Options |
|---|---|---|---|
| Product Builders | Prompt library, versioning, A/B testing | GPT, Claude, Gemini, Llama, Mixtral | Cloud SaaS, on-premise, hybrid |
| Data Teams | Dataset management, golden sets, evaluation harness | Open source, proprietary, custom fine-tuned | Batch, streaming, real time |
| Security & Compliance | RBAC, audit logs, data residency options | Model agnostic policy engine | VPC, private cloud, air gapped |
| Operations | Cost tracking, rate limit controls, uptime SLA | Multi region routing, failover | Auto scaling, reserved capacity |
Rapid Prototyping Workflow
Teams use 90mix to spin up AI experiments in minutes rather than days. The visual prompt builder, combined with instant model comparisons, makes it easy to identify which model and prompt combination delivers the best results for a given use case.
Each experiment is automatically versioned, so teams can trace exactly how outputs changed over time and share a stable snapshot with stakeholders for feedback.
Model Management and Evaluation
90mix includes a dedicated model hub where users can compare latency, cost, and accuracy across different providers. Built in evaluation tools make it possible to score model behavior against defined criteria such as factual correctness, tone, and safety thresholds.
Golden datasets and regression tests ensure that new model versions or prompt updates do not introduce regressions, giving engineering teams confidence to iterate quickly.
Enterprise Security and Governance
Security and compliance controls are baked into the platform rather than added on later. Role based access control, data residency choices, and detailed audit logs help organizations meet internal policies and external regulations without sacrificing developer velocity.
Private cloud and air gacted deployment options are available for teams that require strict data isolation, while still benefiting from the same prompt and evaluation tooling used by cloud customers.
Operations and Cost Optimization
From a cost and operations standpoint, 90mix provides visibility into token usage, request rates, and spend per project. Teams can set budget alerts, define rate limits, and configure auto scaling policies to balance performance and cost.
Multi region routing and failover mechanisms reduce latency for global users and improve resilience, so production services built on 90mix can meet strict uptime objectives.
Getting Started with 90mix
- Use the visual prompt builder to create and refine prompts with instant model feedback.
- Organize experiments into projects and invite team members with role based permissions.
- Connect your preferred LLM providers or deploy custom models through the integration layer.
- Run evaluations against golden datasets to measure quality and catch regressions early.
- Monitor cost, latency, and usage metrics to optimize spend and performance at scale.
FAQ
Reader questions
How does 90mix handle data privacy and compliance requirements?
90mix supports role based access control, detailed audit logs, and configurable data residency options, including VPC and air gapped deployments for highly regulated environments.
Can I use my own language models with 90mix?
Yes, the platform is model agnostic and allows integration with custom fine tuned models, open source checkpoints, and third party APIs through a standardized connector interface.
What kinds of evaluation metrics are available in 90mix?
Built in evaluation harnesses provide metrics such as accuracy, hallucination rate, semantic similarity, cost per token, and latency, which can be customized for domain specific criteria.
How does versioning and rollback work in 90mix?
Every prompt, dataset, and configuration is versioned automatically, enabling teams to compare revisions, run regression tests, and roll back to previous versions with a single click.