AI in your products.
For assistants, agents, product features, and AI-powered customer experiences, TheEngine gives you visibility into usage, cost, performance, and savings as you move from testing to production and scale.
Control how enterprise AI runs. Improve how it performs.
Continuously optimize performance and costs, enforce your policies, and measure the impact across your entire AI stack, all with one intelligent engine that adapts to your business.
TheTopLive
Overview
Spend, savings, budget and seats · this month.
Spend · this month$34,800.25$121.68 per person · 286 people
Saved by TheEngine$30,667.06 46.8%Of what you would have paid
Budget · rolling 24 h42.0%$1,680.00 / $4,000.00
Seats active · 30 days254 / 286 · 88.8%16 silent · 16 never activated
Daily trendBy dayBy month
Week 1Week 2Week 3Week 4
Savings ladderAPI & Code · this month
You paid$34,800.25
All on your baseline model$42,616.23
Without prompt cache$50,695.14
Without TheEngine$65,467.31
Saved $30,667.06 (46.8%) · chat never counted
The problem we solve
AI adoption is accelerating. So are the costs, complexity, and pressure to control it.
Enterprises are deploying AI across more products, teams, models, and workflows, but many still lack a clear, real-time view of what it costs, how efficiently it is being used, and whether those investments are delivering a return.
To stay in control, organizations are setting limits, restricting access to expensive models, slowing AI rollouts, and building their own systems for cost visibility, policy and data controls, and optimization.
The gap
Enterprises are stitching together separate tools for cost visibility, controls, routing, caching, and memory. Each solves part of the problem.
What's missing is one system that makes AI costs transparent, applies organizational policies and controls, and continuously optimizes how AI runs.
TheEngine
One Engine. Every part working together.
TheEngine brings visibility, memory, policy oversight, routing, and caching into one connected system. Memory is the core intelligence behind the optimization, giving TheEngine the context to improve routing, caching, and how each request is handled. That cuts unnecessary model work, improves how traffic is processed, and creates measurable savings. The same layer puts an organization's AI policies into practice, flagging activity that breaks them and leaving the organization in control of what to stop and when. And teams can see it all: AI usage, activity, performance, cost, and savings across the organization.
Visibility
See AI usage, activity, performance, cost, and savings across the organization.
Memory
The intelligence behind optimization. Retains and selects relevant organizational context so TheEngine can continuously improve how requests are routed, cached, reused, and processed.
Policy
Applies an organization's AI policies before eligible requests reach the provider, detects sensitive data in stream, and logs and flags activity for the organization to act on.
Routing
Uses memory and request context to choose the right model or path, improving efficiency and reducing unnecessary model cost.
Caching
Uses memory to identify repeated context and prior work that can be reused instead of paying models to process it again.
Your organization
DepartmentsAgentsApplicationsAPIs
TheTop layer
Blocked0
Memory size0 KB
Rerouted0
Cache hits0
SmarterFasterCheaper
AI providers
Requests0Spent with AI$0Saved by TheTop$0—
One connected system, where memory makes optimization more effective and savings measurable, and policy oversight gives organizations tighter control.
Across your AI estate
A single operating layer across enterprise AI.
Whether AI powers customer experiences or how your teams work, TheEngine gives leaders one place to understand how it is being used, what it costs, whether it follows the organization's policies, and where memory-driven optimization can improve performance and savings.
AI across your organization.
Across enterprise AI tools and internal workflows, TheEngine gives leaders visibility into adoption, usage, spend, and trends while using organizational memory to reduce repeated work and unnecessary model cost.
Request-level transparency
See what happens to every request.
TheEngine doesn't create another black box. See what context was selected, what work could be reused, where a request was routed, whether it was flagged under the organization's policies, what it cost, and how it was handled.
Gain clarity into every request. Improve how AI performs over time.
One request. Five decisions. About eight seconds.
Request traceReady
Your requestDan · Research
Create a summary of the monthly reporting package and flag material changes.
01UnderstandLoad context + history
02RememberFind known org context
03ReuseCheck reusable work
04RouteMatch task to model
05ControlApply policy + budget
00.12Context loaded: Research / monthly reporting
00.21Organizational context found: reporting format + prior definitions
00.29Reusable work detected: prior extraction schema
00.36Routine pass detected → model route adjusted
00.41Policy approved · budget within limit · request forwarded
What it would have cost$0.00
What you paid$0.00
Saved on this request$0.00
The view from the top
Clarity across the operation.
One place to understand how AI is being used, what it costs, how it performs, and where opportunities exist to improve.
See
Usage
Requests, applications, teams, providers, and adoption trends.
Understand
Performance
Quality, model behavior, routing, reuse, and where work is repeating.
Improve
Optimization
Savings, efficiency, model selection, and performance over time.
TheTopLive
People
Who has a seat, who used it in the last 30 days, and what each department spends
Seats assigned286In 10 departments
Active · 30d254 88.8%Used their seat
Silent · 30+ days16Activity before, none in 30 days
Never activated16A seat, no activity ever
Departmentsactivity · 30-day window · spend MTD
| Department | Seats | Active 30d | Code sessions | Spend · MTD |
|---|---|---|---|---|
| Sales & Field Enablement | 52 | 49 · 94.2% | 2,995 | $4,378.04 |
| Operations | 49 | 44 · 89.8% | 2,794 | $4,000.38 |
| Finance & Reporting | 42 | 37 · 88.1% | 2,146 | $3,190.26 |
| Compliance & Risk | 38 | 32 · 84.2% | 2,074 | $3,171.09 |
| Customer Onboarding | 38 | 34 · 89.5% | 1,943 | $2,814.75 |
| Customer Support | 34 | 29 · 85.3% | 1,860 | $2,810.75 |
active + silent + never = seats in every row — this table is the evidence
TheEngine improves how your organization's AI works with every use.
As your organization uses AI, TheEngine builds memory around what context matters and what work repeats, within the organization's own policies. That memory improves how future requests are reused, routed, and processed, helping reduce unnecessary model work and create measurable savings over time.
01
Use
Teams continue working with AI across chat, code, agents, applications, and APIs.
02
Remember
TheEngine identifies and retains relevant organizational context, repeated work, and patterns that can inform future requests.
03
Optimize
Memory helps TheEngine determine what can be reused, what context is needed, and how requests should be routed and processed more efficiently.
04
Measure
TheEngine measures eligible traffic against your baseline so the impact on cost, performance, and savings is visible.
Use → Remember → Optimize → Measure
Policy oversight
Writing the AI policy is the easy part.
Knowing whether it's followed across teams, agents, and workflows is harder. Who's auditing? Who's looking? TheEngine puts AI policies into practice, logging and flagging activity that breaks them, so the organization decides what happens next.
Your policies. Your decisions.
01
Upload
Bring in the policies you already have.
02
Flag
See activity that breaks them, logged and flagged.
03
Decide
Stop it in the moment or set rules going forward.
Single tenant · in streamIncoming requestSarah · Support assistant14:02
Hi, a client is asking why the transfer bounced. Their file says SSN 512-84-9017, and our reconciliation script uses key sk-live-7f3a…c9. Can you check what went wrong and draft a reply?
Detected · 2 sensitive itemsCaught in stream, before the modelKept as a fingerprint and a count, never the text
Access logevery read recorded · September
Danyour admin · opened countersSep 9
Sarahdata owner · reviewed her own recordSep 10
vendor · read schema, not contentSep 11TheTop InsightAdmins see counters and classes. 0 conversations read.
A request with sensitive data inside.Detected in stream. Counted, never read.Every read recorded, including ours.
Count the risk. Don't collect the conversation.
Enterprise AI oversight should not require reading enterprise conversations. TheTop is designed around profiling usage, detecting sensitive data in stream, and auditing access.
Single tenant
Dedicated deployment per customer.
Profile, don't read
Admins see counters, classes and usage.
Detect in stream
Sensitive data is caught before it reaches the model.
Audit every read
Access is recorded and reviewable.
As AI becomes embedded across nearly every business function, enterprises face a growing challenge: improving efficiency and performance while navigating new security and privacy risks. What drew me to TheTop was the team's understanding that enterprise AI, and the technology used to manage it, must deliver measurable value without treating security and privacy as afterthoughts. It's an approach I believe in and one I'm proud to support as an early investor and advisor.
Nothing to rewrite.
base_url = "https://engine.thetop.com/v1"Memory, policy oversight, caching, routing, cost guards, attribution. On from the first request.
Three steps. Your pace.
Nothing moves until you say so. Visibility first. Optimization and savings when you are ready. Our specialist connects the first step with you.
-
01
Run the dashboard.
Connect read-only access. See how your teams really use AI.
-
02
Watch it work.
Not a look back: the dashboard shows in real time where you can save, and how much. About a month in, you know your number.
-
03
Turn on TheEngine.
Point your traffic at us and upload your AI policies. TheEngine does the rest.
Questions we get first.
Short answers. Your specialist covers the rest on the call.
Do we need to replace our AI tools?
No. TheTop is a layer across the AI estate, spanning chat, code, agents, workflows and APIs. Your teams keep the tools they use today.
Do we have to move traffic on day one?
No. Deployment begins with read-only analytics and no traffic migration. Eligible API traffic is routed through TheEngine only when you are ready.
What does the admin actually see?
Counters, classes and usage rather than conversations, with every access recorded and reviewable.
Can we use the AI policies we already have?
Yes. Upload them, and TheEngine puts them into practice, logging and flagging activity that breaks them.
Who decides what happens when something is flagged?
Your organization. Teams can stop it in the moment or set rules to handle it going forward.
How are savings measured?
For traffic through TheEngine, each request is priced twice: the actual cost, and what the same request would have cost without TheEngine, using your own baseline. The difference is the saving, traceable to a single request.
Which providers are supported?
TheEngine sits in front of the providers you already use. The current list of supported providers and connection modes is confirmed at activation. See the terms for how support is defined.
Make enterprise AI visible, accountable, smarter, and more efficient.
See how AI is operating, understand what it costs, put your AI policies into practice, and use memory-driven optimization to improve performance and reduce unnecessary spend over time.
Read-only first. No traffic migration.
1
Tell us about your company.
Name, work email, which AI providers you use.
2
Meet your specialist.
A short walk-through of TheEngine on the kind of traffic you run.
3
Start read-only.
Connect analytics, see the estate, decide when traffic moves.