AWS Partner
We design, build, and operate production AI systems for companies that need more than a demo. Forward-deployed, AWS-native, and engineered to hold up under load, not just under a demo script.
What we do
Most AI projects stall between “the demo worked” and “the business can rely on it.” That gap is where we operate.
AI pipelines that do real, defensible work, not chat demos. Built by Forward-Deployed Engineers who embed in your environment, with multi-agent orchestration engineered to the reliability discipline regulated industries require: visible failure over silent degradation, circuit breakers, audit trails. Our engineers build on both Anthropic and OpenAI model stacks and select per workload rather than standardizing the whole system on a single vendor.
Serverless-first architecture and managed services wherever they exist, sized to actually run, from a $1/month intake pipeline to a Multi-AZ, cross-region platform processing thousands of reports a month. Built for the AWS environment you already run.
We know AWS’s partner funding mechanisms (MAP, MAP Lite, POC, MDF, Well-Architected) and how to stack them against Anthropic and OpenAI partner incentives, so your first AI project costs less and carries less risk.
Services
Before we build anything, we assess what it actually takes to run AI safely and cost-effectively inside your AWS environment: data access, security posture, integration points, and the honest cost model, not the vendor’s cost model.
Good fit if you have a use case but haven’t scoped productionWe design and build AI agents and multi-agent systems that do real work inside your stack. Storm Intel, the platform we built for ExoVzn on Amazon Bedrock, processes federal data feeds through an orchestrated LangGraph pipeline with automated verification, circuit breakers, and full audit trails. Our engineers work across both Anthropic and OpenAI model stacks and pick the model per workload, so the system isn’t locked to one vendor’s roadmap.
Good fit if the decision has real stakes: claims, compliance, legal, financialWeb and mobile applications, UI/UX, and API/systems integration. The surface layer that makes an AI capability usable inside your actual product. Recent example: Next Chapter Legal Solutions, live on AWS in under two hours, running for under $1/month.
Good fit if the AI piece is only half the projectWe stay on as the operating team after launch: monitoring, incident response, cost management, and iteration. Most AI projects fail after go-live, not before it; this is where we keep that from happening.
Good fit if you don’t want to staff an in-house ops teamWe help you identify and secure AWS partner funding (MAP, MAP Lite, POC, MDF, Well-Architected) and stack it against Anthropic and OpenAI partner incentives, to reduce the cost of your first engagement.
Good fit if budget approval is the blocker, not the technical planWhen a project needs specialist capability outside our own delivery team, whether that is deep security work, large-scale data engineering, or industry-specific expertise, we bring in someone from our partner network rather than force-fit our own team into a role it doesn’t belong in.
Good fit if your project needs more than AI and application deliveryThese six are where most engagements start. The full catalogue runs wider, including migrations, DevOps, contact center work, compliance, and support. See all 11 services
About
The Cloud Catalysts built its reputation as the connective tissue of the AWS partner ecosystem. We’ve since brought AI engineering in-house, so we deliver production AI and AWS infrastructure ourselves, and that network still sits behind every engagement we take on.
Our delivery team pairs US-based Forward-Deployed Engineers, hands-on and AWS-focused, with in-house product and GTM leadership working directly alongside Bronson Doom, Founder & CEO. It’s the FDE model applied to AI delivery: engineers embedded in your environment shipping production systems, backed by the product and go-to-market people who keep a deployment aligned to the business outcome, not consultants who hand off a slide deck.
Bronson Doom, Founder & CEO, The Cloud Catalysts
Credentials
Six AWS Partner accreditations plus registered partner status across generative AI, migration, and cloud economics, the same programs we use to fund client work.
AWS Partner
Generative AI Essentials
MAP Authorized I
Cloud Economics
Sales Accredited
Migration Sales Essentials
Migration Ambassador Foundations
View our AWS Marketplace seller profile (opens in a new tab)
Get in touch
We’ll tell you honestly whether it’s ready to scale, and what it’ll take to get there.
Tell us what you’re building, where it’s stuck, and what “done” needs to look like. We’ll respond with next steps, not a sales script.
