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Industry 05 · Enterprise SaaS

Platform engineering that compounds product velocity.

We build, staff, and advise SaaS companies, vertical and horizontal, engineered for multi-tenancy economics, enterprise security posture, and the AI use cases that actually move retention.

Multi-tenant
Native
PLG · SLG
Both motions
100%
Eval-gated AI
1-2 wks
To embedded
Stack

Multi-tenant by reflex, AI-native by build.

The platform-engineering, identity, billing, and AI-feature tools we ship into vertical and horizontal SaaS. PLG and SLG motions both supported.

Platform
TypeScriptNext.jstRPCPrismaDrizzlePostgreSQL row-level securityInngestTrigger.dev
AI Features
Claude / GPTVercel AI SDKLangChainpgvectorEval gatesHelicone proxy
Identity & Billing
ClerkAuth0WorkOSSCIM provisioningStripe BillingLagoOrbMetronome
Observability
DatadogSentryHoneycombPostHogGrafanaHighlight
Multi-tenant by default, no single-tenant retrofits
Enterprise readiness shipped with the MVP, not added after the first big deal
SOC 2 evidence ready before the first procurement review
Challenge

"Add an AI feature" is not the same as build AI that earns NRR.

The market is flooded with SaaS products that bolted on a chat widget and called it AI-native. The features that compound ARR are different, they sit deep in workflow, they earn trust through reliability, and they're instrumented like the rest of the product.

The AI feature your customers love is the one they use on Tuesday morning, not the one they screenshotted at launch.
  • Multi-tenant by reflexIsolation, noisy-neighbour control, tenancy-aware data and quotas, designed in, not retrofitted under enterprise pressure.
  • AI-native, not AI-boltedFeatures that live in the workflow, with evals, observability, and the cost discipline of any other revenue surface.
  • Enterprise-ready postureSSO/SCIM, audit logging, data residency, and the rest of the procurement checklist treated as a delivery output, not an afterthought.
  • Growth-model fluentPLG, sales-led, hybrid, we engineer the activation, expansion, and retention surfaces that match the motion you actually run.
Use Cases

Where we ship today.

Production engagements span horizontal and vertical SaaS, infrastructure platforms, dev tools, and the rising layer of AI-native enterprise products.

Product

In-product AI features

Workflow-aware assistants, summarisation, structured generation, retrieval, decision-support embedded into the surfaces customers already pay for, with eval suites that ship with the code.

Platform

Platform & multi-tenancy build

Tenancy isolation, control plane / data plane separation, noisy-neighbour control, quotas, and the platform observability that supports enterprise SLAs.

Growth

Activation & expansion engines

PLG activation flows, in-product expansion triggers, lifecycle programmes, warehouse-native, identity-resolved, instrumented against NRR not opens.

Customer Success

CS automation & health scoring

Health scoring, churn-risk classification, expansion-signal detection, and the CS workflow tooling that turns signal into shipped action.

Internal Tooling

Sales & ops AI

Pipeline intelligence, RFP and security-review automation, account research, internal AI tooling that ships ARR without slowing the team down.

Enterprise Readiness

SSO, SCIM, audit & compliance

The enterprise-readiness layer that moves you from mid-market to enterprise, built once, productised, ready for the security review.

Talent

The roles we staff most.

Senior specialists with B2B SaaS, platform, and growth experience.

Platform & Backend EngineersEngineers with multi-tenant SaaS, distributed-systems, and enterprise-readiness experience, Postgres at scale, event-driven architectures, IAM and audit.
AI / ML Product EngineersSpecialists who ship AI inside product surfaces, eval-driven development, retrieval, structured generation, cost & reliability discipline of production.
B2B Product & UX DesignersSenior designers fluent in workflow-dense B2B surfaces, AI-native interface patterns, and design-system rigour that scales across product and marketing.
Growth & Lifecycle OperatorsPLG activation, lifecycle, CS automation, growth-engineering specialists with warehouse-native ops experience (Snowflake, dbt, Hightouch).
Outcomes

NRR-shaped engagements.

Adoption, activation, expansion, retention, the SaaS metrics that decide whether ARR compounds.

+ARR
Feature-attributable
AI features ship with the instrumentation to prove ARR attribution, not just usage spikes.
SOC 2
Audit-ready posture
Engagements close with the evidence pack your customer security review actually pulls from.
PLG ↑
Activation rate
PLG activation reworks are measured on the activation metric that drives self-serve revenue, against your baseline.
100%
Eval-gated AI
Every AI feature ships with an eval suite, observability, and a rollback plan.

Have an AI feature or platform build in mind?

One scoping call, product, growth, and security welcome at the table. We come back with a costed plan within 48 hours, including the eval and enterprise-readiness path.