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ROI Calculator01Benchmarks02Use Cases03Pricing04
Calculate Your SavingsRun a Cost Audit

AI COGS optimization layer

Cut AI costs. Increase profit on every customer.

ensemble gives every agent only the business knowledge it needs for the task — reducing token usage, AI COGS and cost per completed result.

Calculate Your SavingsRun a Cost Audit
  • InputFewer tokens.
  • CostLower AI COGS.
  • OutcomeHigher gross margin.
Per-customer agent chainIllustrative model
AgentContext sent per runCost
researcher$0.34
strategist$0.29
writer$0.41
reviewer$0.19
publisher$0.12
Business knowledge re-sentTask-specific input
Every agent re-reads the same customer, brand and product knowledge
Chain cost today$1.35
Chain cost with task-scoped knowledge$0.54

A model of one content workflow, not a measured ensemble result. Your own numbers come from the cost audit.

ROI Calculator

See what unnecessary AI context is costing you.

Calculate how reducing context consumption changes your AI COGS and gross profit.

Your numbers
100250,000
$
$5$2,000
$
$1$1,000
%
10%80%
Potential annual savings+$1.44M

$1,440,000 per year · $120,000 per month

Without acquiring a single additional customer.

Current AI COGS$300,000

per month

Optimized AI COGS · −40%$180,000

per month

Gross margin+12.0% points

70.0%82.0%

Before70.0%
After82.0%
Monthly breakdown
Monthly revenue$1,000,000
Current AI COGS−$300,000
Optimized AI COGS−$180,000
Gross profit before$700,000
Gross profit after$820,000
Monthly savings$120,000
Annual savings$1,440,000
Run a Cost Audit

Benchmarks

The optimization opportunity is already measurable.

0183%

cost reduction demonstrated in a small agent workflow using prompt caching.

Provider optimization benchmark

0288%

cost reduction demonstrated when caching was combined with input trimming.

Caching + context optimization benchmark

0345–80%

API cost reduction reported for optimized multi-turn agentic workloads.

Agentic workload research

Caching makes repeated tokens cheaper. ensemble is designed to reduce how many unnecessary tokens need to be sent in the first place.

Benchmarks are third-party/provider results and do not represent guaranteed ensemble savings. Actual savings depend on architecture, models, prompts and workloads.

Use Cases

Built for products where AI usage is COGS.

The more often your agents repeatedly process customer-specific business knowledge, the larger the optimization opportunity.

AI Content Platforms

01

research → strategy → campaign → script → post → video

Multiple agents repeatedly consume the same brand, market, ICP and product knowledge. ensemble provides task-specific business knowledge to each stage.

ResultLower cost per generated asset.See how it works

AI Research Platforms

02

companies → markets → competitors → prior findings

Agents repeatedly analyze companies, markets, competitors and previous findings. ensemble makes validated knowledge reusable across future tasks.

ResultLower research cost per customer.See how it works

AI Sales Agents

03

prospect → account → positioning → offer

Prospect research, company knowledge, positioning, previous conversations and offers are repeatedly processed. ensemble routes only relevant knowledge into each action.

ResultLower cost per qualified action.See how it works

AI Support Agents

04

product rules → account → history → resolution

Product rules, customer history, account information and support knowledge create large recurring context. ensemble provides the relevant subset for each request.

ResultLower cost per resolved request.See how it works

Autonomous Agent Networks

05

planner → researcher → specialist → executor → reviewer

Without structured shared knowledge, information gets repeatedly passed through agent chains. ensemble creates a shared business-logic layer between them.

ResultLower cost per completed workflow.See how it works

Enterprise AI Systems

06

processes → policies → products → operations

Large internal AI systems repeatedly consume company processes, policies, product knowledge and operational information.

ResultLower enterprise inference spend.See how it works

28 product shapes are covered in the catalogue — recruiting, legal, financial, clinical, logistics and more.

More Use Cases

Pricing

Pay for ensemble from the money it saves.

Audit

Free

Give us 100 production runs. We’ll show you where your AI budget is being wasted.

  • Token usage analysis
  • Context duplication analysis
  • Agent-by-agent cost breakdown
  • Cost per completed task
  • Estimated optimization opportunity
Run Cost Audit

Optimize

Recommended

From $2,000/month

For production AI products with meaningful inference spend.

  • Shared business knowledge layer
  • Agent-specific context routing
  • Context optimization
  • Usage analytics
  • Cost monitoring
  • Integration support
Calculate ROI

Enterprise

Custom

For large-scale agent networks and high-volume AI products.

  • Custom architecture
  • Multi-agent optimization
  • Private deployment
  • Advanced observability
  • Custom integrations
  • Enterprise support
Talk to Us

ensemble is priced against your COGS, not against seats. If the audit does not find a meaningful optimization opportunity in your workload, there is nothing to buy.