Software can now operate software. AI agents use interfaces, follow procedures, and execute tasks across applications — just like your team does, but at a scale only software can sustain. Runspace puts that capability to work: clearing backlogs across every system in your stack.
Live Agent Fleet — 40 Concurrent Sessions
Most teams spend months trying to identify the right use case for AI — running pilots that stall, building demos that never ship, and debating where automation could work. Meanwhile, the backlog keeps growing.
Runspace flips the approach: instead of guessing what to automate, it discovers actual work directly from how your team operates — then automates it at scale.
Months spent finding the right use case, building demos that never reach production
While you search for use cases, queues keep growing — claims, records, compliance tasks piling up daily
Even successful demos lack the infrastructure to run reliably, securely, and at scale
Learn what to automate — directly from how your team works.
An observing agent captures user activity — clicks, inputs, navigation, screenshots, and UI snapshots from your team's actual workflows across any application or system.
Each captured event is annotated using surrounding context and screenshots to produce human-readable descriptions of what happened and why.
Annotated events are grouped into meaningful business tasks — automatically, from real usage, with no manual documentation required.
Detected tasks are generalized into reusable instruction templates with parameters, ready to be automated at scale.
Deploy agents that clear your backlog autonomously.
AI agents are configured with task instructions and scoped application access — isolated sessions with no shared state between runs.
Work items are pulled from your existing systems, prioritized, and queued. Agents pick up tasks and execute them autonomously.
Encrypted credentials are securely injected into agent sessions at runtime — never stored in plaintext, never exposed to models.
Every run is tracked with status, step counts, token usage, and agent summaries — providing complete visibility for compliance.
Runspace deploys inside your Kubernetes cluster via a signed Helm chart. Outbound-only connectivity. No inbound access, no VPN, no Runspace staff in your environment. Credentials are AES-256-GCM encrypted and never reach the LLM.
Orchestrates dozens or hundreds of concurrent agent sessions for organizational throughput — not a copilot for individuals.
Designed for the security and audit requirements of financial services — encrypted credentials, full run logs, and no data leakage.
Go from four-eyes to two-eyes principle. Agents handle the execution, your team handles the oversight — clearing backlogs and freeing skilled staff for judgment-intensive work.
Agents operate through the UI — just like your team does. No APIs, no integrations, no vendor lock-in. If your people can use it, Runspace can automate it.
We don't hand you a platform and wish you luck. Runspace embeds a forward-deployed team inside your organization to get everything running — from discovery to live agents processing real work.
You see value in the first week, not after months of integration planning.
Our team embeds with yours — mapping workflows, deploying recording agents, and identifying the highest-impact tasks to automate first.
Discovered tasks are configured into agent workflows and deployed — processing real backlog items under full audit and supervision.
Fleet scales up, new task types are discovered continuously, and your team takes ownership of the platform — with ongoing support.
Measurable ROI within the first engagement — not a multi-quarter promise.
Runspace is in early access for BFSI and large enterprises with high-volume operations. Request a demo and we'll show you what's possible in your environment.
No commitment. We'll respond within 1 business day.