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\[ MANIAC \]

# Agents you  
actually own.

Accelerate labor with agents that learn how your people actually work and keep getting better. The safest path to agent adoption is ownership: open models, local control, and full auditability without sacrificing performance. Describe workflows and automations in natural language; agents refine themselves from feedback and production traffic so outputs feel like your organization, not a generic template.

\[ ADAPTS TO YOUR TEAM \]

-   Work style, not a frozen playbook. Agents pick up how your team phrases requests, what "good" looks like in your tools, and the shortcuts people use every day. Less copy-paste cleanup, more work that already matches employee taste.
-   Self-improving from real use. Maniac tightens prompts, routing, and task behavior from feedback and production traffic. The system adapts as roles and processes change, instead of waiting for the next manual model swap.
-   Automations from plain English. Maniac's agent product turns natural language into workflows across your stack. Iterate in language, not brittle scripts, while the runtime learns what "done" means for your org.
-   Models you choose. Open weights or closed APIs behind the same adaptive layer, so improvement stays tied to your data and policies.
-   Owned and auditable. Full visibility into agent actions, plus per-seat economics so you can scale labor automation without surprise usage bills.

[Book a Demo](/book-demo)

\[ WHAT YOUR TEAM CAN DO \]

"Summarize every open support ticket about billing from this week."

Knowledge across systems

"When a deal closes in Salesforce, draft the onboarding email and create a Jira ticket."

Cross-tool automation

"How did our churn rate change after the pricing update in Q3?"

Business intelligence

"When a customer mentions cancellation in Zendesk, alert the account owner in Slack."

Real-time triggers

\[ CONTROL LAYER \]

## The control layer for your  
modern enterprise stack.

Your teams already live in Slack, Salesforce, and the best frontier APIs. Maniac doesn't replace that stack. It sits on top as the place where agent behavior, policy, and spend become yours to govern.

You're not buying another metered AI SKU that punishes success when usage spikes. Maniac is priced per seat: budget like software, not like a surprise API bill, while inference runs on infrastructure you control. Models improve from your traffic, policies stay yours, and deployment flexes to where your risk model says data should live.

100%

Agent actions attributable: full audit trail

Your

Models: open or closed, routed under your policies

Per seat

Platform pricing you can forecast; busy agents don't trigger a usage-tax surprise

Under the hood, the same Adaptive Inference engine that compresses and hardens models for production, so "your agents" aren't a demo, they're an asset.

[How Inference works →](/adaptive-inference)

## Engineering Blog

Deep dives on model optimization, agent throughput, and the economics of running intelligence at scale, plus updates from the Maniac team.

[View the blog](/blog)

[

Model LandscapeApr 2, 2026

### Qwen 3.5 vs Gemma 4: the benchmark-by-size comparison

A deployment-class comparison of Qwen 3.5 and Gemma 4 that separates official model-card benchmark overlap from third-party Arena AI chat-preference evidence.

](/blog/qwen-3-5-vs-gemma-4-benchmarks-by-size)[

VPCMar 25, 2026

### Private cloud and VPC AI agents: run frontier-quality automation without shipping data out of your network

ChatGPT and Claude run on their vendors’ clouds, not inside your VPC. Maniac’s agent platform lets you describe workflows and automations in natural language and run them on-premises or in your VPC so data and orchestration stay under your controls.

](/blog/private-cloud-vpc-ai-agents)

## Own the stack.  
Own the agents.

Same control you expect from the rest of your enterprise systems. Now for AI: predictable per-seat economics, full auditability, and a workforce that stays yours.

[Book a Demo](/book-demo)[Docs](https://docs.maniac.ai/agent-setup/agent-setup)

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*Maniac, High throughput background agents. Opus-quality outputs at 1/50 of the cost. Learn more at [maniac.ai](https://www.maniac.ai).*