Lineate

Cloud & AI Cost Optimization

Enterprises waste up to 32% of their cloud budget, and as AI workloads scale, the problem compounds. Lineate finds the waste, eliminates it, and earns nothing until savings are confirmed.

Lets Talk!

27–32%

of cloud budget wasted on average across enterprises

$0

upfront cost — you pay only when savings are confirmed

25+ yrs

of engineering expertise across AWS, GCP, and Azure

What We Do

Primary

Cloud cost optimization

Idle resources, overprovisioned servers, and orphaned storage are silently inflating your bill. Most companies can't accurately attribute costs at a unit level — and don't know where to cut. We do.

  • ✓Free audit across AWS, GCP, or Azure
  • ✓Right-sizing and scheduling to eliminate idle spend
  • ✓Reserved instance and savings plan strategy
  • ✓Full cost attribution at a unit level
  • ✓Continuous governance to prevent waste creeping back

Secondary

AI cost optimization

Every LLM call is billed per token. As your AI products scale, costs grow fast and unpredictably. Most teams see only the monthly aggregate — we go deeper, query by query.

  • ✓AI inference spend audit — cost per query, per product
  • ✓Prompt caching to eliminate redundant token spend
  • ✓Intelligent routing — match query to the right model tier
  • ✓Works across Bedrock, Azure OpenAI, Vertex AI
  • ✓Usage telemetry and real-time cost visibility

Engagement Model

Outcome-based. No savings delivered means no fee charged.

Free audit

We assess your cloud environment and quantify waste before any commitment

  • Free audit
  • Optimization
  • Confirmed savings
  • Ongoing governance

Tech Stack

GrafanaSnowflakeDatabricksGoogle CloudDataDogClick HouseAWS

Related Projects

Case Study: Scaling Sovrn’s Advertising Exchange with AWS

Sovrn, a leading advertising technology company, operates an ad exchange handling approximately 250 billion requests per day. As traffic volume grew and patterns shifted, their on-premises infrastructure struggled to keep pace—leading to reliability issues, scaling challenges, and operational overhead.
Case Study: Scaling Sovrn’s Advertising Exchange with AWS

Sovrn: Efficient Data Delivery

Sovrn provides advertising tools, technologies and services to tens of thousands of content creators. They also offer access to a massive data commons that provides extraordinary insights, helping their customers grow their businesses and increase revenue. The data commons has proven invaluable to content creators, but it requires Sovrn to maintain a large identity graph.
Sovrn: Efficient Data Delivery

OnDeck Proprietary Scoring System

OnDeck is the largest online small business lender in the U.S. Since 2007, OnDeck issued over $6 billion in loans for many business needs, serving more than700 industries throughout the country.
OnDeck Proprietary Scoring System

Data as a service: Fast, user-friendly reporting for hundreds of billions of records

Our client is a privacy-focused marketplace that provides search integrations for advertisers and publishers to serve pay-per-click ads in response to consumers’ searches.
Data as a service: Fast, user-friendly reporting for hundreds of billions of records

AWS Case Study: Real-Time Ad Serving Platform Migration

Customer had a real-time search ads serving platform hosted on premise datacenter without horizontal and geographical scalability support and it became an obstacle for the further growth, including planned expansions to other geographical regions (from the USA to Europe).
AWS Case Study: Real-Time Ad Serving Platform Migration

Our Clients

Got a project?

Let’s talk!

Adam Kessler

Adam Kessler

Sales

Book a meeting

Got a project?

Let’s talk!

Adam Kessler

Adam Kessler

Sales

Book a meeting