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Distyl / Distyl AI

Embeds engineers and SME intelligence to deliver AI-native systems with measurable impact in months.
8.2
Rating
Free
Price
8
Key Features

Overview

Distyl (Distyl AI) is positioned as a provider of AI-native systems and end-to-end enterprise AI workflows focused on rearchitecting large enterprises' operating models to deliver measurable outcomes quickly (weeks to months). The company emphasizes forward-deployed engineering teams embedded with client SMEs, outcome-based pricing, production-grade software, and auditability/governance. Core offering centers on the Distillery platform for generating, refining, and deploying AI-native workflows called "Routines." Key platform capabilities called out on the site include organizational knowledge capture, system observability and audit trails, evaluation and guardrails (testing), feedback integration, and enterprise reliability and security controls (RBAC, multi-tenancy). Target customers are Fortune 1000 / large enterprises across healthcare payors, telecom, manufacturing, retail, CPG and insurance for high-stakes, high-scale initiatives. The site highlights outcome ownership, production deployments, and rapid time-to-value, and repeatedly describes a commercial approach based on outcome-based (shared-risk) engagements rather than public packaged pricing. Distyl publishes case studies (industry use cases such as healthcare payor decisioning, an insight engine generating SQL/analysis, and a CPG supply-chain assistant) but overview pages do not surface named client logos. Leadership backgrounds referenced include ex-Palantir, Apple, and national labs; investors listed include Lightspeed, Khosla, Coatue, Dell Tech Capital, and DST Global. Offices are listed in San Francisco and New York. Contact and legal emails surfaced on the site include [email protected], [email protected], and [email protected]. The privacy policy on the site is effective April 2023 and lists categories of data collected, uses, sharing, cookies/analytics, CCPA rights, and international transfers. Publicly-noted limitations and open items on the site: no public, line-item pricing or packaged pricing tiers (emphasis on outcome-based pricing); no public API documentation or developer portal found on primary pages; no explicit public SLAs, SOC/ISO certification statements, or detailed compliance pages beyond platform governance/security claims; and no named customer references or logos on the main overview pages. Recommended next steps include outreach for representative commercial model/sample SOW, named references with permission to contact, questions about API/SDK or integration patterns, security/compliance evidence (SOC 2/ISO/BAA/pen tests), and requests for technical briefings and demo of Distillery showing Routines and audit trails.

Details

Developer
distyl.ai
Launch Year
Free Trial
No
Updated
2025-12-07

Features

Distillery platform

Proprietary platform for generating, refining, and deploying AI-native workflows ("Routines").

Routines (AI-native workflows)

Orchestrates models, tools, data, and decision logic into auditable, production-ready workflows.

Observability & auditing

End-to-end tracking of inputs, outputs, and decision points for governance, testing, and audit trails.

SME-first tooling

SME Workbench enabling subject matter experts to configure and refine behavior and prompts without deep engineering.

Security & governance

Enterprise controls including RBAC, multi-tenancy, and audit trails; claims of enterprise reliability and security.

Evaluation & guardrails

Testing, evaluation, and guardrail capabilities to validate routines before production deployment.

Screenshots

Distyl / Distyl AI Screenshot
Distyl / Distyl AI Screenshot

Pricing

Enterprise / Custom (Outcome-based)
Free

Custom enterprise engagements with outcome-based commercial terms (contact sales for details).

  • Outcome-based engagement tied to measurable business results
  • Custom scope, SOW, and timelines
  • Forward-deployed engineering teams embedded with client SMEs
  • Production deployment and enterprise reliability focus

Pros & Cons

Pros

  • Strong enterprise focus on Fortune 1000 and high-scale initiatives
  • Forward-deployed engineering teams embedded with client SMEs
  • Production-grade software emphasis and auditability/governance
  • Proprietary platform (Distillery) for auditable AI workflows
  • Outcome-based commercial model aligned to measurable results

Cons

  • No public, line-item pricing or packaged tiers on the site
  • No public API documentation or developer portal found on primary pages
  • No explicit SOC/ISO certification statements or public SLAs on site
  • Case study overviews do not list named client logos or contactable references

Compare with Alternatives

FeatureDistyl / Distyl AISema4.aiStackAI
PricingN/AN/AN/A
Rating8.2/108.1/108.4/10
Workflow RoutinesYesYesYes
Agent AutomationYesYesYes
Knowledge CaptureYesPartialYes
Observability & AuditingYesYesYes
Governance ControlsYesYesYes
Deployment FlexibilityPartialYesYes
SME CollaborationYesYesPartial

Audience

EnterpriseLarge enterprises seeking AI-native systems and measurable outcome-driven deployments.
Technical BuyersPlatform and engineering stakeholders evaluating production-grade AI workflows, governance, and integrations.

Tags

enterprise AIAI workflowsRoutinesDistilleryobservabilityauditabilityoutcome-based pricingSME WorkbenchRBACmulti-tenancy

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