TensorOps×AWS
AWS Partner Briefing
For AWS Account & Partner Managers

Turn AWS contracts into shipped AI. In weeks, not quarters.

TensorOps is an AI consulting & services firm and AWS Partner. We embed with your customers' in-house teams and ship production AI on Bedrock, Q Business, SageMaker, and EC2/EKS, across BFSI, AdTech, HealthTech, manufacturing, and cybersecurity. We don't compete with AWS services. We make them ship.

Book a working sessionSee the case studies →
When to bring us in

Six customer signals that mean call TensorOps.

If you hear any of these in a customer conversation, that's your cue. We turn them into scoped AWS workloads within two weeks.

Signal · 01

Cloud commit signed, no AI roadmap

Customer just closed a multi-year AWS commit and the AI line item is still vapor. Bring us in to scope the first workload.

Signal · 02

Stuck PoC that won’t reach production

Internal team built a notebook demo six months ago and it’s never shipped. We turn it into a production system on Bedrock/SageMaker.

Signal · 03

Bedrock or Q Business pilot needs hardening

Pilot works but lacks RBAC, observability, eval harness, cost controls. We harden it for GA without re-platforming.

Signal · 04

Regulated industry: BFSI, Health, Cyber

Customer needs HIPAA, SOC2, on-prem or air-gapped alongside AWS. We’ve shipped audit-trail AI inside the compliance perimeter.

Signal · 05

Asking about agents, RAG, or fine-tuning

Customer is shopping the words but doesn’t know the architecture. We translate ambition to a scoped 8-week build on AWS.

Signal · 06

$250K+ commit, in-house engineers

The sweet spot. Real engineering team to integrate with, a budget that justifies senior delivery, and KPIs to measure against.

The deal, end to end

How the co-sell unfolds, week by week.

What the AM does at each stage, and what AWS gets in return.

  1. 01
    Week 0

    AWS introduces

    AM

    AM brings TensorOps into the AI conversation with a customer-specific 2-pager.

    AWS gets

    Pursuit unblocked. Customer sees a credible delivery partner, not a slide.

  2. 02
    Wks 1–2

    Joint scoping

    AM

    AM aligns on success metrics, AWS surface area, MAP funding eligibility.

    AWS gets

    Scoped use case + co-sell registration. POC commitment from the customer.

  3. 03
    Mo 1–3

    Discovery / PoC

    AM

    Light-touch. TensorOps embeds with the customer’s team and builds on Bedrock/SageMaker.

    AWS gets

    Workload validated against real data. AWS consumption begins.

  4. 04
    Mo 3–6

    Project launch

    AM

    AM tracks consumption growth and customer success milestones.

    AWS gets

    Production workload live. Recurring spend on Bedrock, EKS, Q Business.

  5. 05
    Mo 6+

    Compound

    AM

    AM surfaces second and third workloads inside the same account.

    AWS gets

    Multi-year customer. 75% of TensorOps engagements retain past year one.

Customer fit: the 30-second triage

Who to bring us in for, and who to skip.

✓ Bring us in
  • AWS customer · $250K+ commit · in-house engineering team
  • Stuck PoC or unbuilt AI initiative that needs production rigor
  • Multi-quarter AI roadmap with measurable KPIs
✗ Skip us
  • Shopping for a packaged SaaS chatbot
  • Pre-product or pre-data, nothing to ground the AI on
  • Pure data engineering with no ML or LLM component
200M+
end users worldwide impacted daily by AI systems TensorOps has shipped into production
11
unicorns and public NASDAQ companies trust TensorOps with their AI roadmap
95%
of validated ideas reach production in under two months
The proof
Seeking Alpha

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.

$70K
MRR · Bedrock
Receipts: the customer impact, in their own numbers
Wenrix · Travel
−90%

Knowledge-base operational cost cut via precision indexing on Amazon Q Business, while consolidating six tools into one secure search interface.

Panaya · Enterprise IT
3 wks

From kickoff to production-grade RAG agent (“SeeMore”). Enterprise guardrails, flexible data-source templating, deeply integrated into Panaya's stack.

Versatile · Construction
90%

Subcontractor identification rate on previously-“Unknown” crane lifts using Tree Learners on AWS + Databricks, event-driven and cost-efficient.

What we build

Eight production-ready AI offerings.

Agentic Systems

Multi-step automation and workflows

Document Intelligence

Chat over PDFs and knowledge bases

AI Consumption Optimization

High Bedrock spend, unclear ROI

Fine-Tuning

Open-source models, data sovereignty

Computer Vision

Sensor and image fusion, edge inference

MLOps & Production AI

Drift, retraining, sub-10ms inference

Semantic Search

NL→SQL and hybrid retrieval

Freemium → Premium

Conversion-aware AI in subscriptions

The outcomes

What this means for the three sides of the deal.

AWS
  • Multi-year Bedrock, Q Business, and SageMaker consumption
  • 75% of engagements become multi-year customers
  • Compounding workload pipeline inside the account
TensorOps
  • ~20 senior AI engineers across Portugal, UK, Israel
  • 95% of validated ideas ship in under 2 months
  • Production rigor: RBAC, observability, cost controls, evals
The client
  • Production AI on AWS, not slideware
  • Senior engineering team embedded with theirs
  • Time-to-value in weeks, not quarters

Bring us into your next AWS pursuit.

Here's what happens after you reach out to claudio.lemos@tensorops.ai:

  1. Step 01
    Email Cláudio

    Send the customer name + use case in one paragraph.

  2. Step 02
    48h: customer 2-pager

    You get a customer-specific brief you can take into the next call.

  3. Step 03
    Week 1: joint scoping

    Three-way call to align on the workload.

  4. Step 04
    Week 2: MAP / PoC alignment

    Co-sell registration and funding paths confirmed.

  5. Step 05
    Month 1: Bedrock prototype

    Working AI on real customer data, on AWS.

Book a working sessionEmail Cláudio directly →