Agentic Index
Distyl AI vs Databricks Mosaic AI (2026)
Distyl AI and Databricks Mosaic AI both sell enterprise multi agent platforms, and the split is delivery model versus data platform: Distyl deploys forward deployed engineers who turn organizational knowledge into audited AI routines inside Fortune 500 production systems, priced custom and outcome based, while Mosaic AI is Databricks' native agent framework with evaluation, governance, and usage based DBU pricing on the lakehouse you may already run. Public documentation on Distyl is thin, so treat any evaluation as a scoped pilot with defined success criteria.
| At a glance | Distyl AI | Databricks Mosaic AI |
|---|---|---|
| Category | Multi-agent platform | Multi-agent platform |
| Entry price | Custom, outcome based (contact sales) | Free trial · usage based (DBUs) |
| Free / trial | — | A free trial is available to evaluate the Databricks platform and Mosaic AI before committing to consumption billing. |
| Pricing confidence | contact only | public partial |
| Feature | ||
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Partial | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | ||
|---|---|---|
|
Entry price Lowest public entry point |
Custom, outcome based (contact sales) | Free trial · usage based (DBUs) |
|
Pricing confidence How public the numbers are |
Contact only | Public — partial |
|
Billing Primary billing axis |
— | usage (DBUs) |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
— | Mixed |
Choose Distyl AI if
- You want outcomes delivered by embedded engineers, not a platform to staff.
- Your processes need bespoke agent routines that off the shelf platforms cannot express.
- Outcome based pricing aligned to results fits your procurement.
Choose Databricks Mosaic AI if
- Your data already lives in Databricks, so agents inherit governance and lineage.
- Platform ownership by your own team beats vendor delivered routines.
- Usage based DBU pricing on existing commitments simplifies the buy.