AI-Powered Cloud & AI Cost Intelligence
Your CFO Just Asked Why Cloud Costs Doubled. Your AI Bill Is Next.
You have 30 seconds to answer both.
Stop drowning in spreadsheets. Get AI-powered answers to cloud and AI cost questions in 30 seconds -- root causes, savings recommendations, and actionable next steps delivered to Slack. Monitor spend across AWS, Azure, GCP, Anthropic, OpenAI, and Bedrock.
The Problem
Cloud Cost Management Is Broken
Most teams waste 10+ hours per week on manual analysis and still can't answer basic questions about their cloud spend.
50+ Line Items, Zero Clarity
Resource IDs, cryptic service names, no clear owner. Which team is responsible? What does it do? Why did it spike?
2-4 Hours Per Question
Download CSVs. Build pivot tables. Join 3 datasets. By the time you have an answer, the CFO has moved on.
Hidden Waste Bleeds Cash
Idle instances from 2022. Dev databases running 24/7. Overprovisioned resources. The waste is there -- you just don't have time to find it.
Here's what's fundamentally unfair: you're being held accountable for costs you can't see, can't explain, and don't have time to investigate. It's wrong that talented professionals waste 10+ hours a week on spreadsheets when AI can answer the same question in 30 seconds. The tools that were supposed to help just created more dashboards to ignore. You deserve answers, not more charts.
Your Guide
Built by Someone Who Lived Your Problem
Terrain's founder, Andrew Psaltis, spent 20+ years leading AI and data analytics at Google Cloud, Cloudera, and Hortonworks -- advising Fortune 500 C-suites on how to turn cloud and data investments into measurable business outcomes.
As Asia Head of AI and Data Analytics at Google Cloud, he led 85+ specialists and partnered with the largest enterprises on data strategy. As APAC Regional CTO at Cloudera and Hortonworks, he was instrumental in driving significant regional growth across the Asia Pacific. He built Terrain because every customer he worked with faced the same problem: they had dashboards, not answers.
20+
Years in AI, data analytics, and cloud strategy
Fortune 500
Enterprises advised on AI and data ROI
APAC CTO
Drove regional growth at Cloudera & Hortonworks
Published
Author of Streaming Data, podcast host
Ask Anything in Plain English
"Why did costs spike last weekend?"
"Show me all idle resources > $100/mo"
"What can I shut down to save $20K?"
No SQL. No pivot tables. Just ask.
Root Causes, Not Just Charts
AI-powered intelligence analyzes your billing data, identifies root causes (not just correlations), and calculates ROI for every recommendation.
Actionable Recommendations
Every finding comes with specific, prioritized recommendations -- what to do, how much you'll save, and the business context to get approval fast.
The Plan
Three Steps to ROI Intelligence
Connect Your Cloud
One-click AWS, Azure, or GCP integration with read-only access. Your data stays in your environment.
Live in under an hour
Ask Your Hardest Question
Type the question that normally takes 4 hours. "Why did costs spike?" "Show me waste." "What should I optimize first?"
No SQL or pivot tables required
Get Answers in 30 Seconds
AI identifies root causes, calculates savings, and provides prioritized recommendations — delivered to Slack.
Not hours. Not minutes. Seconds.
The Outcome
Imagine This Instead
The Expert in the Room
Your CFO asks why costs spiked. You open Slack, type the question, and read the answer aloud — root cause, dollar impact, and fix — in 30 seconds. The room goes quiet. Then: 'How long have we had this?'
The 10-Hour Week Back
Your team used to spend Monday mornings building cost reports. Now they spend Monday mornings building product. Terrain handles the reports. You get the credit.
The $200K Find
Three weeks in, Terrain flags $200K in idle resources nobody knew existed. You present the savings at the next all-hands. The VP of Engineering asks if you can do that every quarter. You say yes.
What's at Stake
The Cost of Doing Nothing
Budgets Keep Blowing
Without proactive intelligence, cost overruns become the norm. Finance loses trust in engineering.
10+ Hours/Week Wasted
Your best engineers are doing spreadsheet forensics instead of building product.
15-40% Cloud Waste
Industry studies consistently show that this is how much the average organization overspends on cloud.
Every week without ROI Intelligence is another week of burning cash you can't explain, losing hours you can't get back, and falling further behind teams who already automated this. The question isn't whether you'll adopt cloud intelligence — it's how much waste you'll accumulate before you do.
The Questions That Matter
Your Board Will Ask These. Can You Answer?
What's the ROI of your Databricks subscription?
You're paying $180K/year. Is it generating more than $180K in value?
If you cut cloud spend by 20%, which business outcomes would you lose?
Without ROI data, cost-cutting is a coin flip.
Which engineering teams generate the most value per cloud dollar?
Some teams 10x their spend. Some burn cash. You should know which.
Is your $400K/month AWS bill an investment — or just an expense?
Expenses get cut. Investments get funded. The difference is proof.
If you can't answer these questions in 30 seconds, you don't have ROI Intelligence. Yet.
The ROI Intelligence Journey
From Cost Chaos to ROI Clarity
Most tools stop at visibility. Terrain walks you from 'what did we spend' all the way to 'what did we earn.' Meet us wherever you are.
See Everything
Connect your clouds. All spend in one place. No more CSV forensics.
- Multi-cloud + AI cost aggregation (AWS, Azure, GCP, Snowflake, Databricks, BigQuery, Redshift, Anthropic, OpenAI, Bedrock)
- FOCUS-compliant normalization
- Automatic tagging and allocation
← Where legacy tools stop
Understand Why
Ask any question. Get root causes and savings in 30 seconds.
- 17 specialized AI agents (waste, anomaly, efficiency, forecasting, AI cost optimization)
- Causal analysis — not just correlation
- Natural language questions via Slack or web
Link Spend to Goals
Set strategic objectives. Track cost KPIs against business outcomes.
- OKR-style cost objectives with live progress tracking
- Custom formulas for any metric (cost per customer, unit economics)
- Automated alerts when goals are at risk
Prove Every Dollar
Measure the return on every cloud investment. Answer the board in 30 seconds.
- ROI attribution per service, team, and business unit
- "What-if" analysis: impact of cuts before you make them
- Executive-ready ROI reports with business context
Terrain takes you here →
AI Cost Intelligence
98% of Organizations Are Managing AI Spend. Most Are Flying Blind.
AI is the fastest-growing line item on your cloud bill. 53% of organizations struggle to understand the full scope of their AI spending. Terrain gives you token-level visibility across every AI provider.
Source: FinOps Foundation, State of FinOps 2026 (n=1,192 practitioners)
Token-Level Cost Visibility
See exactly how much every API call, prompt, and completion costs across Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and Google Vertex AI. No more surprise invoices.
AI Cost Forecasting & Anomaly Detection
ML-powered predictions for AI spend. Catch runaway token usage, unexpected model cost spikes, and quota overruns before they hit your budget.
Per-App AI Cost Attribution
Know exactly which application, team, or feature is driving your AI costs. Equitable allocation across departments with full chargeback and showback support.
Monitor AI Spend Across All Major Providers
98%
of orgs now managing AI spend
FinOps Foundation — State of FinOps 2026
#1
tool feature request: granular AI monitoring
FinOps Foundation — State of FinOps 2026
53%
struggle with full scope of AI spending
FinOps Foundation — State of FinOps 2026
40%
difficulty quantifying AI value and ROI
FinOps Foundation — State of FinOps 2026
Integrations
Intelligence That Connects Your Entire Stack
Terrain collects from your cloud, data platforms, and business tools — then delivers actionable intelligence where your team already works.
Cloud Providers
AI & ML Providers
Data Platforms
Business Data
17 AI Agents
Causal Analysis·ML Forecasting·ROI Attribution
Collects From
17 AI Agents
Delivers To
Not Just Billing Data
Connect observability, business metrics, and cloud billing to see the full picture. That's how you calculate the ROI of your Databricks subscription.
30-Second Answers, Anywhere
Ask a question in Slack. Get the answer in Slack. No context-switching, no dashboard hunting, no waiting for someone to pull a report.
From Cost Data to ROI Intelligence
When you connect business context to cloud spend, you stop cutting costs and start proving value. That's the shift from FinOps to ROI Intelligence.
Pre-Built Intelligence
95 Intelligence Queries. Ready Day One.
Don't start from scratch. Terrain ships with 95 pre-built conversation tiles across 10 categories — from cloud cost optimization to AI spend intelligence, data platform management, and cross-domain analytics.
Cost Savings
8 queries
Top savings opportunities
Anomalies
5 queries
Cost spike root causes
Optimization
19 queries
Right-sizing & reservations
Forecasting
7 queries
Budget variance prediction
Allocation
2 queries
Chargeback by team
Governance
3 queries
Tag compliance & policy
Insights
17 queries
Service cost trends
AI & ML
15 queries
Model cost comparison
Data Platforms
5 queries
Snowflake & Databricks
Cross-Domain
14 queries
Cloud + AI total cost
ROI Intelligence in Action
Questions Only Terrain Can Answer
What's the cost-per-insight of our Snowflake pipeline?
Your Snowflake analytics pipeline costs $14,200/month and generates approximately 340 business-critical insights per month across 4 teams. That's $41.76 per insight — down from $67.30 six months ago after rightsizing the warehouse tier.
Investment validatedShow me AI costs broken down by application — which apps are the biggest spenders?
Your top 3 AI spenders this month: ML Platform ($28,400 — 60%, primarily Claude 3.5 Sonnet via Anthropic), Customer Support Bot ($12,100 — 26%, GPT-4o via OpenAI), and R&D Experimentation ($6,730 — 14%, mixed models via AWS Bedrock). ML Platform's spend jumped 34% month-over-month due to a new classification pipeline that could use a smaller model at 90% less cost. Projected savings: $14,200/month.
Optimize ML Platform — $14K/mo savingsWhich teams generate the most business value per cloud dollar?
Data Engineering: $1 spent = $4.20 in analytics-driven decisions (highest ROI). ML Platform: $1 spent = $2.80 in model-served revenue. Dev/Test: $1 spent = $0.40 — 60% of resources are idle outside business hours.
Optimize Dev/Test, scale Data EngineeringPricing
Simple, Transparent Pricing
Flat monthly rate. No per-resource fees. No surprises.
Starter
For small teams getting started
$497/mo
billed annually
Up to $500K annual cloud spend
- 1 cloud account
- Natural language queries
- AI cost monitoring
- Slack delivery
Growth
For teams scaling governance
$1,493/mo
billed annually
$500K-$2.5M annual cloud spend
- Up to 5 cloud accounts
- AI cost optimization + model comparison
- Multi-channel delivery
- 90-day history + forecasting
Scale
For orgs standardizing FinOps
$3,983/mo
billed annually
$2.5M-$10M annual cloud spend
- Up to 20 cloud accounts
- AI cost intelligence + forecasting
- AI anomaly detection + alerts
- Unlimited data retention
Enterprise
For complex multi-cloud environments
Custom
tailored to your needs
$10M+ annual cloud spend
- Unlimited cloud accounts
- Custom AI cost allocation + per-app attribution
- Custom data source connectors
- SLA + priority support