§ IV  ·  About us  ·  Built by engineers and finance leaders
Filed · 2026 · Vol IV

We believe AI costs shouldn't be a black box.

COGScontrol was built by engineers and finance leaders who understand the challenge of managing AI spending at scale.

¶ Our mission

Empowering AI-first companies to scale confidently.

When AI becomes central to your product, costs can spiral quickly. A single runaway prompt, an inefficient model choice, or a sudden spike in usage can blow your budget before you even realize it's happening.

We built COGScontrol because we lived this problem. Traditional cloud cost tools weren't designed for the unique challenges of AI workloads — the multiple providers, the per-token pricing, the need to allocate costs by feature or team. We knew there had to be a better way.

§ Founder's note
Justin Moore · Founder & CEO
We built spreadsheets, wrote scripts, and manually reconciled bills across providers. When we realized every AI-first company faces this same problem, we knew there had to be a better way.
— Justin Moore · Founder & CEO
§ IV.ii
Our story

Why we built COGScontrol.

001

The problem

As AI-powered products grew in popularity, engineering teams found themselves with a new challenge: understanding and controlling AI costs. Unlike traditional infrastructure costs, AI spending is distributed across multiple providers, priced by usage metrics like tokens and API calls, and often difficult to attribute to specific products or teams.

Finance teams were asking questions that engineering couldn't answer: "What did it cost to serve our enterprise customers last month?" "Which feature is driving our OpenAI bill?" "Are we on track to hit our AI budget?"

Chapter 01
002

The insight

We realized that AI cost management needed a purpose-built solution. Traditional cloud cost tools focus on infrastructure — VMs, storage, network. But AI costs are fundamentally different: they're driven by API calls to external providers, measured in tokens and requests, and need to be classified across multiple business dimensions.

We needed a tool that could ingest data from OpenAI, Anthropic, AWS Bedrock, and cloud providers — all in one place. A tool that could automatically classify costs and let you set budgets on the dimensions that matter to your business.

Chapter 02
003

The solution

COGScontrol was born from this need. We built a platform that gives AI-first companies complete visibility into their AI spending, the ability to classify and allocate costs automatically, and the tools to set meaningful budgets and catch anomalies before they become problems.

Today, teams use COGScontrol to answer the questions that matter: "How much did we spend on Claude vs GPT-4 this month?" "What's the cost-per-query for our enterprise tier?" "Are we on track with our Q4 AI budget?"

Chapter 03
§ IV.iii
Our values

What drives us.

i.

Transparency

We believe in clear, honest communication — in our pricing, our product, and our relationships. No hidden fees, no surprise charges, no black boxes.

Principle
ii.

Excellence

We sweat the details. From pixel-perfect dashboards to sub-second data ingestion, we build products we're proud to put our name on.

Principle
iii.

Customer focus

Our customers' success is our success. We listen deeply, respond quickly, and build what matters most to the teams who trust us with their data.

Principle
§ IV.iv
The instrument panel

Built for the resolution finance expects.

Provider integrations
8+
unified ingestion
OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Vertex AI — plus AWS, Google Cloud, Azure compute.
Classification dimensions
5
fully customizable
Cost Center, P&L Category, Product Line, Environment, and Project — define rules with AND/OR logic.
Unified cost view
1
one ledger
All providers normalized into a single, reconciled, board-ready P&L view.
Business metrics supported
CSV import · API
Revenue, headcount, DAU/MAU, transactions, queries — track unit economics on any KPI.
§ 14-day free trial · no credit card · no commitment

Ready to measure the value of your AI investment?

Ready to manage unit economics continuously — instead of scrambling at month-end?