We are an AI engineering firm with teams in Portugal, the UK, and Israel. We embed with AWS customers' in-house teams and ship production AI systems on Bedrock, Q Business, SageMaker, and EC2/EKS — across BFSI, AdTech, HealthTech, manufacturing, and cybersecurity. The numbers below are what we've delivered.
The proof. AWS introduced TensorOps to Seeking Alpha. 12-month co-build → “Ask Seeking Alpha” live on Amazon Bedrock for 100K+ users, generating ~$70K MRR in Bedrock consumption. The pattern AWS account teams want to replicate in their accounts.
Knowledge-base operational cost cut via precision indexing on Amazon Q Business, while consolidating six tools into one secure search interface.
From kickoff to production-grade RAG agent (“SeeMore”). Enterprise guardrails, flexible data-source templating, deeply integrated into Panaya's stack.
Subcontractor identification rate on previously-“Unknown” crane lifts using Tree Learners on AWS + Databricks, event-driven and cost-efficient.
You identify the customer's AI ambition and bring TensorOps into the scope.
Architecture, success metrics, AWS surface area — defined with the customer's team.
PoC built on the AWS AI stack, validated against real data. Our engineers embed with theirs.
Hardening, observability, cost controls, RBAC. Phased rollout to real users.
Multi-year customer. Second workload in scoping. AWS consumption compounds.
Reach out to claudio.lemos@tensorops.ai for joint account planning, MAP funding alignment, or to scope a customer-specific 2-page pitch you can take into your next call.