DoiT Forward Deployed Engineers migrate your OpenAI API workloads to OpenAI models on Amazon Bedrock. Same models, same prompts, spend on your AWS bill. Book a 30-minute discovery call and leave with a scoped migration plan.
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the gap we close
Your team built on the OpenAI API and it works. Codex agents ship code, GPT models power production features. Then the requirements arrive. Security wants IAM, PrivateLink, and CloudTrail. Finance wants GenAI spend on the AWS bill, drawing down commitments. Procurement wants one less vendor.
The migration looks like an endpoint swap. It isn't. Auth moves from API keys to IAM. Model IDs change. Quotas work differently. The Responses API and batch have their own shape on Bedrock.
We pair you with engineers who have done this before. We map your workloads, run side-by-side evals to prove output parity, and cut traffic over in stages. No regressions, no surprises on the first bill.
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
for AWS teams
You have customers running OpenAI models outside AWS. That spend never touches Bedrock and never counts toward their commitment. The customer wants to keep their GPT models and Codex workflows, so nobody moves.
This accelerator is the move. The customer keeps the exact models they run today. The workload lands on Bedrock, the spend draws down their EDP or PPA, and DoiT engineers do the migration work. Nothing lands on your SA's plate.
