Consistent Business Logic at Scale

Enterprise engineering teams face a specific problem: the same business rule lives in dozens of codebases, owned by different teams, implemented differently. Traverse gives those teams a single governed runtime to share.

Apache 2.0
No licensing cost. No vendor lock-in.
100%
Test coverage enforced by CI
0
Lines of unsafe Rust
WASM
One binary. Any environment.

What enterprise teams are actually dealing with

01

50 teams, 50 implementations

Each team owns a service. Each service implements the same eligibility check. Nobody agrees on edge cases. Support tickets get routed to whoever gave the wrong answer this week.

02

Compliance audits with no evidence

An auditor asks: prove that this rule ran correctly for this transaction six months ago. You have logs. Maybe. The structure varies by service. Reconstructing what actually ran takes days.

03

Legacy systems need the new rule too

The new platform is clean. The legacy Java service has been running for eight years and nobody wants to touch it. But both systems need to apply the same business rule.

04

AI initiatives bring a new runtime

The AI team wants to give agents access to pricing and eligibility logic. That logic lives in the backend. The backend team does not want agents calling their APIs directly. Now what?

One registry. Any runtime.

Traverse turns each business capability into a governed WASM binary. Any team, any system, any runtime pulls from the same registry and gets the same behavior.

Single canonical capability registry

All teams pull capabilities from one registry. Pricing, eligibility, validation. One source. No drift. When a rule changes, the registry version increments and consumers pin or upgrade on their own schedule.

01

Contract versioning

Every capability has a versioned machine-readable contract. Old consumers pin to the version they tested against. New consumers get the latest. No implicit coordination required between teams.

02

Trace artifacts for compliance

Every execution produces a structured trace: inputs, outputs, contract version, timestamp, precondition results, postcondition results. When an auditor asks what ran, you have a queryable record, not log spelunking.

WASM portability

The same binary runs in your Java service, your React app, your Cloudflare Worker, and your AI pipeline. The legacy system gets the exact same logic as the new platform without a rewrite.

03

Spec-governed development

Every capability change requires an approved spec before merging. The spec is checked in with the code. Architecture decisions are tracked as ADRs. No undocumented behavioral changes ship.

AI

AI pipeline integration

Expose capabilities as MCP tools. AI agents call governed capabilities, not raw APIs. The same contract enforcement and trace artifacts apply. The AI team gets access. The backend team keeps control.

How teams adopt it: start with one capability causing the most pain. Wire one consumer to Traverse. See the traces. Expand from there. Most teams do not need to migrate everything at once.

Built for the requirements enterprise brings

These are not marketing claims. They are properties enforced by the build.

Apache 2.0 license No licensing cost. No vendor lock-in. Fork it if you need to. The license cannot change.
100% test coverage Enforced by CI. Every merge requires full coverage. No coverage-by-comment workarounds.
No unsafe Rust Zero unsafe blocks. Security teams can verify this with a single grep.
SBOM generation CycloneDX SBOM generated on every release. Every dependency is visible and auditable.
ADR-backed architecture Every major architectural decision is documented as an ADR in the repository. No tribal knowledge.
Structured execution traces Every execution produces a trace. Format is stable, versioned, and queryable. Ready for SIEM or compliance tooling.

What adoption looks like

Most enterprise teams start with a single capability. Find the business rule that is implemented most inconsistently across your systems. Write a Traverse capability spec for it. Wire one consumer. Run it in parallel with the existing implementation. Compare traces. When they match, cut over.

The registry grows over time. Each team that adopts a capability stops maintaining their own implementation. The rule exists once. The registry holds the version history.

capabilities/eligibility/customer-tier.toml
[capability] name = "eligibility.customer-tier-check" version = "3.0.1" owner = "platform-team" spec = "specs/eligibility/customer-tier-v3.md" placement = ["browser", "edge", "cloud", "ai-pipeline"] [preconditions] # Enforced by the runtime. All consuming teams get the same validation. customer_id = "non-empty string, UUID format" account_age_days = "integer, >= 0" total_spend_usd = "float, >= 0.0" region = "ISO 3166-1 alpha-2" [postconditions] tier = "one of: standard, silver, gold, platinum" benefits = "array of benefit identifiers" next_tier = "tier or null" spend_to_next = "float or null" [constraints] max_execution_ms = 50 memory_limit_mb = 16 [trace] emit = true retention = "90d" # Trace retained for 90 days for compliance queries

Every team that previously maintained their own tier calculation now pulls this capability. The spec is checked in. The ADR documents why v3 changed the tier thresholds. The trace answers the compliance question.

Start with one capability.
Pick the rule causing the most pain. Write the spec. Wire one consumer. See the trace.
Quickstart GitHub →
Traverse for E-commerce → How Traverse compares →