Software that runs your business — not just software you run.
Spikefrost agents talk to your customers across every channel, do the work, and act on their own — while you stay in control. Build one by describing it to Claude; it ships the app and the agents.
An agentic app is software that operates itself.
Not a chatbot you babysit — a team of agents that run a real process end to end. A few things teams build on Spikefrost:
An ecommerce that runs itself
Launches its own promos, chases the daily sales goal, and answers customers — storefront and backoffice, end to end.
A support desk on every channel
One agent across Slack, email, WhatsApp, and web chat. It answers, resolves, and escalates only what actually needs a human.
A data portal you talk to
Ask in plain language; get charts, trends, and straight answers from your own data — no dashboards to build.
An ops watchtower
Checks your metrics on a schedule, catches anomalies, and reports to your channel — proactively, while you sleep.
Two things slow a growing business down. Spikefrost fixes both.
You can't ship features fast enough, and you can't automate the work eating your team. Spikefrost is the leverage for both — without hiring a bigger one.
Ship features in a day
Stop queuing every idea behind your engineering backlog. Describe what you want, and AI builds and deploys it the same day. The constraint becomes how fast you decide — not how many engineers you have.
How teams ship fasterAutomate the work eating your team
Support, promotions, reporting, follow-ups — run by native agents that act on their own and escalate only what needs a human. Your team supervises instead of doing the busywork.
The automation guideBuilt for regulated, security-first teams
Everything enterprise AI needs.
Nothing it doesn’t.
A platform that treats speed and security as the same problem, solved once for every agent you ship.
Ship in a day, not a quarter
Describe what you want and AI builds and deploys it. New features stop waiting behind your engineering backlog.
Automate the busywork
Native agents run support, promotions, and operations on their own — so your team supervises instead of doing.
Secure by default
Encrypted secrets, short-lived per-action tokens, and design-time-verified operations. Safe paths are the default path.
Governed & auditable
Least-privilege access down to the tool, strict isolation, and a full audit trail — enforced by the runtime.
Full audit & observability
Every action, job, and cost is logged and attributable, replayable end to end.
Deterministic operations
Move correctness out of the prompt. Transactional, tested operations enforce your invariants.
Connect anything
Slack, Teams, email, Stripe, webhooks, and any MCP server: owned and scoped per agent.
One spine, from inbound to edge
Connectors, agents, jobs, and a stateless edge runtime: composable primitives that scale without rewiring.
Connectors
Inbound from Slack, Teams, email, payments, or any MCP server.
Agents
Owned, scoped, and governed. One owner per connector.
Jobs & workflows
Durable work trees with per-job cost and full lineage.
Edge runtime
Stateless, fungible compute that scales to where you run.
From idea to a production agent before lunch.
No platform team, no Kubernetes, no bespoke glue. The sf CLI scaffolds, wires integrations, and ships to the edge, so engineers spend their time on behavior, not plumbing.
- Scaffold a fully-wired app in one command
- Define agents, connectors, and routines as code
- Deploy globally to a stateless edge runtime
$ sf app create "support-copilot"✓ scaffolded app · D1 · edge runtime$ sf agents upsert triage --model opus✓ agent ready · least-privilege tools$ sf connectors upsert slack --owner triage✓ connector claimed · scoped to 1 agent$ sf deploy✓ live · https://support.acme.com
Isolation isn’t a setting. It’s the architecture.
Security is structural, not a checkbox. Boundaries, ownership, and credentials are enforced by the runtime, so a mistake in a prompt can’t become a breach.
Single-tenant isolation
Each workload executes in its own boundary, never a shared runtime.
Encrypted everywhere
Secrets sealed with KMS at rest and in transit. Reserved platform credentials can never be shadowed.
Scoped, per-call credentials
Short-lived tokens minted per action. Long-lived keys never touch agent code.
One owner per connector
Every integration belongs to exactly one agent. No ambient reach across the org.
Your data stays yours
Customer data is never used to train models. Full residency and retention control.
Who can do what: provable, not promised.
Identity-based access mapped to roles and scoped to the tool. Least privilege is the default, enforced server-side and logged.
Identity-based access
Map Slack, Teams, email, and SSO identities to roles. Permissions resolve as a union, explicit and additive.
Capability scoping
Grant each agent only the tools it needs. An agent that must not write simply isn’t given the write tool.
Protected resources & audit
Lock sensitive threads and data even from admins. Every access is recorded and attributable.
| Capability | Owner | Engineer | Operator | Viewer |
|---|---|---|---|---|
| Deploy apps | ||||
| Manage RBAC | ||||
| Run agents | ||||
| Read audit logs | ||||
| Read sensitive data |
10×
Faster time to production
99.99%
Platform uptime SLA
100%
Single-tenant isolation
40+
Built-in secure connectors
Bring secure AI agents to your enterprise.
See how teams ship governed, isolated agents in days, and keep them that way.