NeuralAgent
NeuralAgent is a computer-use AI agent that clicks and types inside SAP, legacy desktop apps, and browsers your team already runs.
For workflows trapped behind SAP screens, Oracle forms and internal portals, NeuralAgent executes rather than just advising — a category many vendors talk about and few ship. Training its own action model to handle the high-volume clicking, with frontier models reserved for hard planning, is a sensible cost bet. Go in expecting real setup and supervision effort before you can leave runs unattended.
Verified 4d ago · liveness 68/100 · cite: rightaichoice.com/tools/neuralagent
- IT and operations teams automating SAP, Oracle, ERP, and legacy desktop software without waiting for APIs
- QA groups running business-process tests across desktop clients, browsers, and internal systems
- Back-office teams handling data entry, invoice processing, reporting, and cross-system work
- Engineering and design teams driving complex visual desktop tools that depend on clicking and application state
- Teams needing a documented public API or SDK for headless control from their own code
- Mobile-only or pure web-app users — this drives installed desktop and browser applications
- Anyone wanting a chat assistant that answers questions rather than operating the machine
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Skip NeuralAgent if you need to drive the automation headlessly from your own code through a documented API, or if you want a chat assistant rather than an agent that operates your desktop software.
Execution is metered in credits that are separate from user seats — the pricing page shows a sample $100,000 allocation with $26,550 consumed, so a busy fleet can outrun the seat budget.
The self-serve Individuals tier is free on a single computer, which is the cheapest way to test the approach against a per-seat RPA licence. Team work is listed at $40/user/month, well under enterprise RPA suites that charge per bot or per unattended runner. Enterprise is scope-priced as a custom annual agreement covering fleet capacity, security review and support — comparable in shape to other managed computer-use fleets, and cheaper than them only if your workflows are high-volume enough
In short
NeuralAgent — NeuralAgent is a computer-use AI agent that clicks and types inside SAP, legacy desktop apps, and browsers your team already runs. Best for IT and operations teams automating SAP, Oracle, ERP, and legacy desktop software without waiting for APIs, QA groups running business-process tests across desktop clients, browsers, and internal systems, Back-office teams handling data entry, invoice processing, reporting, and cross-system work. Free to start; paid plans from $40/user/mo.
What people actually say about NeuralAgent — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
12 mentions across 4 sources (Hacker News, YouTube, Product Hunt, GitHub), 12 more we could not attribute · researched Oct 20, 2026.
Weighted by the 24 posts each of 4 sources contributed.
- +Attacks a real gap: automating SAP and legacy desktop apps with no API
- +Open-source GitHub repo with 242 stars and zero open issues signals active maintenance
- +Watch & Learn demonstration capture plus Fast Replays makes repeatable workflows approachable
- +Runs locally on employee machines or approved VMs, addressing cloud-data concerns
- +Enterprise Dashboard breaks down credits by provider, member, or computer
- −Task execution speed criticized as too slow versus expectations and competing projects
- −No public pricing or free-tier limits — buyers must contact sales to budget
- −AVG antivirus flagged the installer, raising IT security and rollout friction
- −No obvious undo/rollback story for irreversible actions in financial or ERP systems
- −Some Product Hunt feedback reads as launch-day cheerleading rather than tested use
- • Execution credits consumed by underlying provider calls (Anthropic, OpenAI, Google) add variable cost on top of the plan
- • Neural-managed cloud computers may charge separately from credit consumption
- • IT time to whitelist the installer across managed fleets if antivirus flags it
Viability Score
How well maintained and how widely used is NeuralAgent? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Control mouse, keyboard, typing, and scrolling across desktop and browser applications
- Assign tasks by text or voice with Voice Mode for hands-free input
- Capture a process by demonstration with Watch & Learn, then replay it
- Rerun saved workflows with new task variables using Fast Replays
- Schedule recurring workflows, including unattended runs
- AI-supervised monitoring, recovery, and replanning mid-task
- NeuralAction computer-use model for visual grounding and UI action generation
- 285ms action-generation latency, fastest observed in internal testing
- Up to 95% action agreement with a frontier-model baseline in internal evaluations
- Smart model routing between NeuralAction and Anthropic, OpenAI, and Google models
- Ask First or Act Without Asking modes for sensitive actions
- Foreground, background, and unattended execution modes
- 30+ skills covering Google Products, PowerPoint, Excel, PDF, Coding, and Research
- Enterprise Dashboard with connected computers, task history, and screenshots
- Execution-credit tracking broken down by provider, member, or computer
About NeuralAgent
NeuralAgent is an AI agent platform built for operating software that will never get an API. Instead of wiring connectors, agents see the screen and drive the same mouse-and-keyboard interface a person would, so work inside SAP, Oracle, legacy desktop clients, internal portals, and engineering tools can be automated or tested without touching source code. The core is NeuralAction, Neural's in-house computer-use model trained for visual grounding and UI action generation. Neural reports 285ms action-generation latency (fastest observed in internal testing) and up to 95% action agreement with a leading frontier-model baseline. The platform routes routine interface actions to NeuralAction while harder planning and recovery go to models from Anthropic, OpenAI, and Google — one place to pick a model per task. Operation is designed for teams, not lone tinkerers. The Enterprise Dashboard shows connected computers, live and scheduled tasks, task histories with screenshots, and credit consumption broken down by provider, member, or computer, with low-balance alerts and exportable reports. A shared library of skills and workflows keeps institutional know-how reusable, and you can deploy on employee machines, approved virtual machines, or Neural-managed cloud computers. It suits IT, operations, QA, and applied AI groups extending automation into complex software — business-process testing, ERP data entry, invoice processing, cross-system reporting. If you want a headless API to call from your own code, or a chat assistant that answers rather than acts, look elsewhere.
Behind the Verdict
The honest reason to look at NeuralAgent is that some software will never expose an API. SAP screens, Oracle forms, an old desktop client, an internal portal owned by a department that stopped staffing it — nobody is shipping integrations for those. NeuralAgent's answer is to drive the pixels, and that is genuinely the right approach for a narrow, expensive problem. We'd pick it for QA teams running business-process tests across ERP and desktop systems, and for back-office groups pushing invoices, purchase orders, and reports through interfaces that resist scripting. The shared workflow library is the part that compounds: once a process is captured and validated, colleagues get a consistent starting point and reviewers get screenshots plus a spend record. Where it bites is setup and trust. This is not a set-and-forget bot. You define a task, watch it run, correct the failures, and decide how much autonomy to grant — Ask First versus Act Without Asking is a real governance dial you'll want to get right before going unattended. Expect a ramp before you let a whole process run alone. The NeuralAction pitch is compelling but read it carefully: 285ms and up to 95% agreement are internal evaluations against a frontier baseline, not an independent benchmark. Treat them as directionally useful signals rather than guarantees, and validate on your own applications during a pilot. Cost is metered through execution credits, so spending is workload-driven rather than a flat seat fee. That rewards teams with predictable, repeating processes and can surprise anyone experimenting widely. The Dashboard's per-provider breakdown is the feature that makes that manageable — use it. Closest alternatives are classic RPA suites like UiPath or Automation Anywhere and newer computer-use
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Real-world workflow fit
Concrete scenarios for the personas NeuralAgent actually fits — and what changes day-one when you adopt it.
Capture the purchase-order approval path once with Watch & Learn, save it as a shared workflow, then create Fast Replays with different order values and vendor codes and schedule them to run overnight on dedicated cloud computers.
Outcome: Each morning you open the Enterprise Dashboard, filter task history to the failed runs, and read the attached screenshots and exportable reports instead of replaying the test by hand.
Connect a shared operations computer, assign the invoice-exception workflow to it, set Ask First mode on the actions that post to the finance system, and configure a low-balance notification for the workspace owner.
Outcome: Routine invoice movement runs unattended on NeuralAction while flagged exceptions wait for a human, and consumption per member and computer is visible in the dashboard before the budget surprises anyone.
Deploy NeuralAgent on approved employee virtual machines as well as Neural-managed cloud computers, route a daily operations report to a stronger reasoning model for the irregular steps, and keep routine field entry on NeuralAction.
Outcome: You add automation coverage for internal interfaces without an integration project, and the provider-level spending breakdown shows exactly how much of the report cost came from reasoning versus routine actions.
Use Cases
- Automate weekly sales report generation and email distribution
- Update CRM records by extracting data from incoming emails and spreadsheets
- Publish e-commerce product listings with images and descriptions across platforms
- Run recurring file management tasks like organizing downloads and archiving
- Execute cross-application workflows spanning desktop apps and web browsers
- Schedule routine work like invoice processing and dashboard updates
- Capture a manual workflow once with Watch & Learn and replay it automatically
- Run business-process tests across SAP, desktop, browser, and internal systems for QA
Models Under the Hood
as of 2026-10-18
Limitations
- Enterprise pricing is scoped as a custom deployment around users, computers, shared execution capacity, security, and support rather than a listed rate, so the website alone cannot be used to budget.
- The evidence names model providers (the in-house NeuralAction model plus models from Anthropic, OpenAI, and Google) but not individual model versions.
- The cited 285ms action-generation latency and up to 95% action agreement are self-reported internal evaluations, not third-party benchmarks.
- Computer-use automation also requires someone to define and validate each workflow before it can run unattended.
as of 2026-10-12
Verification history
We have re-verified NeuralAgent 11 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 11 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published NeuralAgent tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Individuals (self-serve)
$0/mo
Ideal for
A solo operator or evaluator who wants to run hands-on automation on their own computer before pitching it to a team.
What this tier adds
Free starting tier: computer control and reusable workflows scoped to one machine.
Teams
$40/user/month
Ideal for
Small back-office, QA or operations groups that need shared workflows and a common execution pool rather than one person's desktop macros.
What this tier adds
Adds collaborative execution, shared team workflows, organization execution capacity and Enterprise Dashboard access on top of the individual tier.
Enterprise
Custom annual agreement
Ideal for
IT and operations organizations deploying a supervised fleet across employee machines, approved VMs and Neural cloud computers, with security review and support.
What this tier adds
Adds the managed computer fleet, multi-provider model choice, usage and low-balance reporting, security review, rollout training, a custom annual agreement and a separately scoped Private deployment path.
Where the pricing makes sense
The company stage and team size where NeuralAgent's pricing actually pencils out — and where peers do it cheaper.
The self-serve Individuals tier is free on a single computer, which is the cheapest way to test the approach against a per-seat RPA licence. Team work is listed at $40/user/month, well under enterprise RPA suites that charge per bot or per unattended runner. Enterprise is scope-priced as a custom annual agreement covering fleet capacity, security review and support — comparable in shape to other managed computer-use fleets, and cheaper than them only if your workflows are high-volume enough
Setup time & first value
How long it actually takes to get something useful out of NeuralAgent — broken out by persona, not the marketing-page minute.
Individuals on one machine: minutes to install and run a first text-assigned task, but expect an hour or two of Watch & Learn capture and Fast Replay tuning before anything runs unattended. Back-office and QA teams: days, because someone has to define, validate and supervise each shared workflow. Enterprise with security review, identity and retention scoping, and a managed computer fleet: weeks
Switching to or from NeuralAgent
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From manual desktop procedures: record the process once with Watch & Learn, then replay it as a saved workflow.
- →From RPA scripts: move the visual steps to an agent that grounds on screen state instead of brittle selectors, keeping Fast Replays for the variable inputs.
- →From QA test scripts: convert business-process tests into scheduled workflows that run across SAP, desktop and browser in one pass.
- →From a single-machine trial: add cloud or employee computers under the same workspace without rebuilding the workflow library.
- ↗To scripting or RPA: workflows you captured are documented as tasks with histories and screenshots you can use to rebuild them as scripts.
- ↗To an API-based integration: only worth it where the target system actually exposes a usable API, which is the gap NeuralAgent exists to fill.
Resources & Guides
Tutorials & Learning
NeuralAgent 2.5 - Watch & Learn, Voice Mode, and Parallel Agents
NeuralAgent
NeuralAgent 2.0 - Your Personal AI Assistant That Operates Your Entire Computer
NeuralAgent
YouTube returned 6 videos for “NeuralAgent”, and we withheld 4: 4 could not be judged, because “NeuralAgent” is a single word that other videos use for other things. Showing the 2 we can prove are about NeuralAgent.
Official links
Tools that pair well with NeuralAgent
Common stack mates teams adopt alongside NeuralAgent, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Neuralagent vs Truleo
If you're in law enforcement needing to mine leads from siloed data (jail calls, RMS, BWC), Truleo is purpose-built. If you're an office worker automating repetitive desktop tasks across any app, NeuralAgent's screen-control approach is more flexible. They solve different problems entirely—choose based on your domain.
Neuralagent vs Locus Robotics
Locus Robotics and NeuralAgent serve completely different domains: Locus automates physical warehouse fulfillment with AMRs and RaaS pricing, while NeuralAgent automates digital desktop tasks via screen control. You would never choose one over the other — instead, select based on whether your bottleneck is physical picking or computer-based workflows.
Neuralagent vs Presto Voice
For QSR chains aiming to boost drive-thru revenue, Presto Voice wins with proven upselling and recent large deployments like Dairy Queen. NeuralAgent excels at desktop UI automation for office tasks, but lacks drive-thru or voice ordering capabilities. Choose based on your primary need: order taking vs. desktop workflow automation.
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