Partners

AI expertise. Grounded in your environment.

Our partner ecosystem connects a focus on Claude and OpenAI with experience across Google Cloud, AWS, and Microsoft Azure. We help your team make practical architecture and adoption decisions.

Partner01

Anthropic

Architecture and adoption guidance for Claude, including agent context, tool permissions, evaluation, and engineering workflows.

Partner02

OpenAI

Guidance on integrating OpenAI into agents and applications, with attention to model behavior, evaluation, reliability, and operating cost.

Partner03

Google Cloud

Cloud and ML architecture expertise to help your team assess data, deployment, and operational requirements.

Partner04

AWS

Infrastructure and application architecture guidance around access, workload design, reliability, and cloud operating cost.

Partner05

Microsoft Azure

Architecture guidance for AI initiatives within your Azure environment, including integration, access boundaries, and operational ownership.

CUSTOMER REQUIREMENTS FIRST

Choose the technology
for the task.

Model quality, data access, latency, cost, and operational fit belong in the same decision.

We compare options against your requirements and document the tradeoffs. Our role is to help you decide what fits, how to validate it, and where your team needs additional support.

Explore architecture advisory ↗

FOR CONSULTING & DELIVERY PARTNERS

Add specialist AI depth to your engagement.

Work with Titanisu on architecture reviews, technical discovery, team coaching, or a scoped engineering workstream. Agree the customer relationship, technical responsibilities, confidentiality, and handover before work starts.

Discuss working together ↗

A CLOSER LOOK

Connect model capability to the operating environment.

A model provider and a cloud platform answer different parts of the architecture question. We help teams evaluate the complete path from user request to data access, model behavior, and operating responsibilities.

01

Model and agent design

Compare behavior against representative tasks. Examine grounding, tool use, evaluation coverage, and how changes will be reviewed.

02

Cloud and data boundaries

Map where data moves, how identity is applied, and what access is needed. Review the deployment design against your requirements.

03

Ongoing operation

Identify useful quality and performance signals, release checks, and ownership. Make the recurring cost and maintenance implications visible.

PLANNING YOUR NEXT STEP

Useful questions
to resolve.

Does a partnership dictate which technology you recommend?

Recommendations should follow your requirements, evidence, and constraints. We document the tradeoffs so your team can decide what fits.

Can a consulting firm engage you for a specialist workstream?

Yes. We can discuss discovery, architecture review, coaching, or a scoped engineering task, with an explicit agreement on responsibilities and customer communication.

ARCHITECTURE / ADVISORY / ENGINEERING

Put specialist expertise alongside your team.