Pricing
The math is the pitch.
The average enterprise running two or more systems pays $50M to $200M per year for the multi-vendor AI stack. AIGIS replaces that with one governed platform. Pricing is a range because every deployment is a real engagement, not a SKU.
Design Partner
Launch
$150K to $500K
6-month engagement
Founder-led deployment, configuration, and managed operation. Capped at 5 enterprises in 2026. Engagement size scales with the systems and integration complexity in scope.
- Deployed into your cloud (AWS, Azure, GCP, or on-prem)
- You bring the LLM keys (Claude, GPT, Gemini, Bedrock, your choice)
- Founder-led deployment, configuration, and runbook handoff
- 1 to 3 systems connected (Salesforce, SAP, ServiceNow, or any database)
- 6 months of fully managed operation
- Custom permission and identity integration
- Co-developed case study with reference rights
- Locked-in 2027 platform pricing for the production tier
- Direct line to the founder via Slack
Platform
Scale
$25K to $75K
/ month, depending on systems and scale
Self-serve enterprise platform. Pricing scales with the systems you connect and the size of your active user base.
- Customer-hosted by default (your cloud, your LLM keys)
- $25K/month base, includes up to 2 systems
- +$7.5K/month per additional system connected
- Up to 10,000 monthly active users (additional capacity priced separately)
- Audit-grade permission provenance ledger
- 99.9% SLA with credits
- All three patents pending; trade secrets covered by EULA
- One-time implementation fee starting at $35K
- Optional AIGIS-hosted tier available (see add-ons)
Custom
Enterprise
$1M to $10M+
/ year, fully custom
Multi-region, dedicated infrastructure for organizations with stricter compliance, scale, or sovereignty requirements.
- Always customer-hosted (your cloud, dedicated VPC, or on-prem)
- 25,000+ monthly active users
- Unlimited systems with custom connectors
- Multi-region deployment with on-prem option
- Customer-managed keys for both data and LLM access
- SOC 2 Type II + ISO 27001 (in progress)
- Dedicated Technical Account Manager
- Volume pricing and flat-fee, never per-conversation
Price ranges reflect typical engagements. Final pricing depends on number of systems, complexity of the permission model, integration depth, support requirements, and compliance scope. We'll scope the deal with you, not against you.
Deployment model
Your cloud. Your keys. Your data stays put.
AIGIS is governance infrastructure. The only honest way to ship governance infrastructure is to deploy it where the data already lives.
You bring the cloud and the keys.
AIGIS deploys into your environment: AWS, Azure, GCP, or on-prem. You hold your own LLM keys (Claude, GPT, Gemini, Bedrock, your choice). Your data never leaves your boundary. Your governance posture (SOC 2, ISO, HIPAA, GDPR residency) is inherited automatically because we're inside it.
- Default for every tier
- Customer pays cloud and LLM costs directly
- AIGIS code deployed via your CI or our managed runbook
- Compliance posture inherited from your existing cloud account
- Customer-managed keys for both data and LLM access
We host. Available on Scale tier and up.
If your team can't or won't host AIGIS in your cloud, we operate a managed instance for you. Adds $15K to $30K per month to the platform fee, covering LLM provisioning, multi-tenant infrastructure, and dedicated support. Same governance code, different operational boundary.
- AIGIS provisions LLM access (cost included in monthly fee)
- Multi-tenant infrastructure with strict isolation
- Higher operational SLA (we own uptime)
- Quarterly access reviews and tenant audit reports
- Faster onboarding (no customer cloud setup required)
Why this matters: The whole point of AIGIS is that your data stays in your systems. Customer-hosted is the architectural commitment that makes that promise real. Vendor-hosted multi-tenant AI products read your prompts. AIGIS deployed in your cloud cannot, by design.
Add-ons
Where the work that moves the needle gets priced.
Most enterprise deployments include some custom work. We don't bury it in the platform fee. We price it transparently so you can budget.
Annual prepay carries a 10% discount. Multi-year commitments (2 or 3 years) are negotiable for additional discount in exchange for the term.
The math
The real enterprise stack costs $50M to $200M per year.
Most enterprises don't run one AI vendor. They run several. Here's the public 2026 pricing for a 50,000 user enterprise running the typical multi-vendor stack.
Sources: Salesforce, ServiceNow, and Microsoft public 2026 pricing. SAP Joule and Now Assist pricing under NDA, ranges based on published industry estimates. Agentforce Flex Credits at $0.10 per action are an alternative model with similar order-of-magnitude cost at scale.
What pricing reflects
We're not the cheap option. We're the consolidation option.
Per system, not per conversation
Your AI usage growing should grow your value, not your invoice. AIGIS prices around the systems you connect because that's where the real value compounds.
Flat-fee at every tier
No per-message tolls. No surprise overage when a high-touch team works hard one month. You can budget once and forget it.
No bundled vendor lock-in
Agentforce locks you to Salesforce. Joule locks you to SAP. AIGIS works across all of them with one bill, one contract, and one platform to manage.
Pricing transparency with room to scope
Every tier publishes a range that reflects what real engagements cost. We scope the deal with you on a discovery call, not behind a 12-month NDA.