CloudFix's answer

• Ryanair
• Moody's
• Western Digital
• Cisco
• Bloomberg

CloudFix's answer

Most AWS cost optimization tools show you where to save, CloudFix actually does the saving. It automatically implements AWS-recommended fixes across your accounts, 24/7, without requiring manual intervention. Every fix follows AWS best practices, is non-disruptive, and goes through AWS SSM so you stay in control. Savings compound over time rather than being a one-off result.

Tempreon's answer:

Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use — Claude, ChatGPT, Cursor, anything MCP-capable.

• It learns, it doesn't just store. How you work, what you decide, how you like things done — refined over time, not filed away.
• One memory, every assistant. Captured once in one tool, available in all of them. No re-explaining yourself.
• Custody is structural, not marketing. Your data exports anytime, the formats are portable, and our export tooling (memhaul) is open source. We monetize the service, never the custody.

CloudFix's answer

CloudFix is the only platform that combines continuous automated fix execution with full approval control via AWS Change Manager. Tools like ProsperOps, Cloudability, and CloudZero identify savings opportunities but CloudFix implements them. It covers 50+ AWS advisories per week across compute, storage, networking, and database services, and delivers 15–60% savings per AWS service.

Tempreon's answer:

Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem — your problem is re-explaining yourself to each of them and losing everything when you switch.

• Tempreon solves that one: one memory, every assistant, no re-onboarding.
• The model landscape changes every few months — a memory layer that belongs to you is the thing that shouldn't.
• No lock-in by design: plain-text exports, open-source export tooling, portable formats.

The choice is really about who the memory is for. Ours is for you.

CloudFix's answer

Engineering and FinOps teams at mid-to-large enterprises running significant AWS workloads typically $80K+ in monthly AWS spend. CloudFix suits companies using multiple AWS services who want ongoing cost optimization without dedicating engineering resources to manually track and implement AWS advisories.

Tempreon's answer:

Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.

If you've ever pasted the same context into Claude and ChatGPT in the same week — you're the audience.

CloudFix's answer

CloudFix was built by the team behind one of AWS's largest customers, managing 120+ SaaS products across thousands of AWS accounts. Keeping costs optimized at that scale without breaking anything was a constant challenge. They built CloudFix internally to automate it, proved it cut costs by 10–20%, and turned it into a product.

Tempreon's answer:

Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you — your context, your preferences, your judgment — gets rebuilt from scratch inside every tool, and lost every time you move.

We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon — like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.

The through-line is custody: the model is temporary, your memory shouldn't be.

CloudFix's answer

CloudFix is built natively on AWS. It uses AWS CloudFormation for deployment, AWS Cost and Usage Reports (CUR) and CloudWatch Metrics for analysis, and AWS Systems Manager to orchestrate and control fix execution. IAM roles handle secure, read-only cross-account access with no long-term credentials.

Tempreon's answer:

• Model Context Protocol (MCP) over streamable HTTP — the core of it. This is what makes Tempreon work in any compliant client rather than one walled garden.
• OAuth 2.1 with dynamic client registration and PKCE for authorization.
• TypeScript and Postgres under the hood.

The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.