Visual Workflow Builder
Design multi-step AI pipelines with drag-and-drop nodes. Version, test, and deploy without writing boilerplate orchestration code.
AI infrastructure platform
Ship AI features without rebuilding your stack
AISaaS is a fictional AI platform for teams who need production-ready models, workflows, and analytics — without the infrastructure overhead. Launch production workflows in days — with routing, analytics, and governance built in.
14-day trial · No credit card · SOC 2 ready
Trusted by product teams
- Northline
- Helix
- Vertex
- Arcadia
- Pulse
- Meridian
- Tokens processed monthly
- 2.4B
- Platform uptime SLA
- 99.97%
- Teams in production
- 340+
- Median routing latency
- <120ms
Platform capabilities
Everything you need to run AI in production
From first prototype to enterprise rollout — one platform covers orchestration, observability, and governance.
Managed Model Routing
Route requests across providers automatically. Failover, cost caps, and latency thresholds are configured in minutes — not sprints.
Real-Time Analytics
Track token usage, latency percentiles, and error rates per workflow. Export dashboards or pipe metrics into your existing observability stack.
Enterprise Security
SOC 2 Type II controls, SSO, audit logs, and data residency options. Your prompts and outputs stay within policy boundaries.
Unified API Layer
One REST and SDK surface for every model and workflow. Swap providers behind the scenes without breaking client integrations.
Team Collaboration
Shared workspaces, role-based access, and review gates. Product, engineering, and ops work from the same source of truth.
Side-by-side comparison
In-house stack vs. AISaaS
See why teams switch from fragmented tooling to a unified AI platform.
Criteria
Alternative
In-house stack
Custom integrations, self-managed infra, fragmented tooling.
Recommended
AISaaS
Unified platform with managed routing, analytics, and governance.
Feature
Time to first production workflow
In-house stack
6–12 weeks
AISaaS
2–5 days
Feature
Multi-provider model routing
In-house stack
NoNot included
AISaaS
YesIncluded
Feature
Built-in observability
In-house stack
Custom build required
AISaaS
YesIncluded
Feature
Cost governance per team
In-house stack
NoNot included
AISaaS
YesIncluded
Feature
SOC 2 compliant infrastructure
In-house stack
Varies by stack
AISaaS
YesIncluded
Feature
Engineering headcount to maintain
In-house stack
2–4 FTE
AISaaS
0.5 FTE
Feature
Average monthly infra spend
In-house stack
$8,000+
AISaaS
From $299
Integrations
Connects to your existing stack
Plug AISaaS into the tools your team already uses. Custom webhooks and API endpoints are available on all plans.
- SlackCommunication
- GitHubDevOps
- SnowflakeData
- DatadogObservability
- SalesforceCRM
- ZapierAutomation
- NotionDocs
- LinearProject
Pricing
View full pricing detailsTransparent plans that scale with you
Start with a 14-day trial on any plan. Upgrade when your workflows and team grow.
Starter
$299/month
For small teams validating AI features in production.
- Up to 3 active workflows
- 500K tokens included
- Email support
- Basic analytics dashboard
- 2 team seats
Pro
$899/month
For growing teams shipping AI across multiple products.
- Unlimited workflows
- 5M tokens included
- Priority support
- Advanced routing & failover
- SSO & audit logs
- 10 team seats
Enterprise
Custom
For organizations with compliance, scale, and SLA requirements.
- Dedicated infrastructure
- Custom token volumes
- 24/7 support & SLA
- Data residency options
- Custom integrations
- Unlimited seats
Customer stories
Teams ship faster with AISaaS
“We replaced three internal services with AISaaS workflows in under two weeks. Our model costs dropped 34% while latency improved.”
“The comparison wasn't even close. AISaaS gave us observability and governance out of the box — things we had on a six-month roadmap.”
“Our compliance team signed off in days, not months. Audit logs and SSO were exactly what we needed for enterprise rollout.”
FAQ
Common questions
Everything you need to know before getting started. Reach out if you need more detail.
How is AISaaS different from calling model APIs directly?
AISaaS adds routing, observability, cost controls, and workflow orchestration on top of raw model APIs. You keep flexibility while eliminating the glue code that slows teams down.
Which model providers do you support?
AISaaS supports major commercial and open-weight providers through a unified API. You can add custom endpoints for private or fine-tuned models.
Where is my data processed?
By default, data is processed in US and EU regions. Enterprise plans include dedicated regions and data residency guarantees.
Do you offer on-premise deployment?
Enterprise customers can deploy AISaaS in their own VPC or on-premise environment with the same control plane and feature set.
How does billing work for multiple teams?
Each workspace has its own usage dashboard and optional spend caps. Consolidated billing is available for organizations with multiple workspaces.
From the blog
View all postsLatest updates and guides
Workflow Builder 2.0 — Visual Pipelines, Zero Boilerplate
Introducing Workflow Builder 2.0 with branching logic, inline testing, and one-click rollbacks for production AI pipelines.
February 18, 2026
How to Choose the Right Model Router Strategy
A practical guide to failover, cost caps, and latency thresholds when routing across multiple AI providers.
January 24, 2026
SOC 2 Readiness for AI Platforms — A Checklist
Security controls every AI SaaS team should implement before enterprise customers ask for them.
December 8, 2025
Get started today
Ready to ship your next AI feature?
Start a 14-day trial and deploy your first workflow this week. No infrastructure setup required.