Engineering services built for regulated, asset-heavy operations

We design and ship software where mistakes are expensive: finance-grade controls, audit-friendly evidence, uptime expectations measured in quarters—not slide decks.

EVYNUM is not a generic “digital agency.” Our teams embed with municipalities, manufacturers, mobility operators, and regulated enterprises—where requirements are entangled with legacy cores, safety, procurement rules, and multi-year roadmaps. Below is how we translate that reality into delivery you can govern.

How engagements are structured

Every line item maps to an artifact your risk and audit stakeholders can inspect—not a black box.

Shape & trace

Joint discovery with domain owners; constraints and non-functional requirements captured as living architecture decision records, traceability into acceptance criteria, and explicit cutover assumptions.

Build in slices

Vertical slices through the stack (identity, APIs, data contracts, UI) with contract tests, synthetic monitors, and staged traffic—so releases reduce blast radius instead of “big bang” weekends.

Operate with evidence

Runbooks, SLO-backed alerting, structured logging, and post-incident reviews tied to remediation tickets—documentation treated as part of the product, not an afterthought.

Capability · High-integrity web & B2B platforms

Web platforms where transactions, entitlements, and audit trails must line up

We build customer portals, partner extranets, and internal consoles where role-based access, immutable activity history, and reconciliation with back-office systems are non-negotiable.

Work is organized around bounded contexts: clear API surfaces, idempotent integrations, and UI states that degrade safely when dependencies slow down—patterns we use when a portal sits next to an ERP or a legacy mainframe feed.

What we deliver

  • Design systems and component libraries aligned to WCAG 2.2 AA—with keyboard flows tested against real procurement and finance tasks, not cosmetic overlays.
  • Multi-tenant SaaS isolation (data plane, cache keys, background jobs) with per-tenant rate limits, export policies, and admin “break glass” procedures.
  • Server-driven and edge-aware rendering strategies where time-to-first-byte and cache invalidation directly affect revenue or SLA credits.
  • Instrumented releases: OpenTelemetry traces, RED metrics, correlation IDs across gateways and workers, and dashboards wired to error budgets.

Where this shows up

  • Billing and settlement consoles reconciling usage events against contract entitlements.
  • Permitting and asset lifecycle portals for public-sector workflows with evidence of who approved what, and when.
  • Partner onboarding hubs with document intake, KYC-style checkpoints, and staged API key provisioning.

Typical stacks we integrate with include .NET and Node service meshes, PostgreSQL or SQL Server as systems of record, Redis for session and workload isolation, and React or Next.js front ends—always chosen against your existing estate, not a default brochure stack.

Capability · ERP, GL integrity & operational finance

ERP and finance cores that survive auditors and month-end close

We extend and integrate ERP landscapes—coexisting with SAP, Oracle, Microsoft Dynamics, or vertical industry suites—so postings, inventory valuation, and intercompany rules stay coherent across plants and legal entities.

Engagements emphasize master data governance, duplicate detection, and controlled migration windows: parallel runs, cutover checklists, and rollback paths that operations teams rehearse before go-live.

What we deliver

  • Chart-of-accounts harmonization, cost center mapping, and posting bridges between manufacturing execution systems and the general ledger.
  • Workflow engines for capital approvals, three-way match exceptions, and period-close task orchestration—with segregation-of-duties rules encoded in the platform, not only in policy PDFs.
  • High-volume ingestion pipelines for invoices, timesheets, and meter readings with idempotent writers and dead-letter handling your finance controllers can audit.
  • Operational reporting packs: trial balance tie-outs, inventory aging, and WIP bridges that reconcile between sub-ledgers and GL without spreadsheet gymnastics.

Where this shows up

  • Multi-site manufacturing with intercompany transfers, landed cost layers, and rework loops.
  • Asset-heavy utilities and municipalities tracking depreciation, maintenance CAPEX, and grant-funded projects.
  • Mobility and fleet operators unifying revenue recognition across subscriptions, usage, and partner settlements.

Capability · Offline-first field & workforce mobility

Mobile products for crews, inspectors, and drivers—not brochure apps

We build native and cross-platform experiences where connectivity is intermittent, batteries matter, and data captured in the field must sync deterministically without corrupting upstream systems of record.

Sync models are explicit: conflict resolution rules per entity, tombstoning for deletes, and server-side validation hooks so partial batches never half-post into finance or inventory.

What we deliver

  • Offline queues with backoff, checksum verification, and operator-visible sync status—so a technician trusts what is “on device” versus “committed.”
  • MDM-friendly packaging, per-environment signing pipelines, and staged rollouts with crash and ANR budgets tracked against SLAs.
  • Geofenced workflows, digital work orders, and proof-of-service capture (signatures, photos, barcode scans) with tamper-evident metadata where required.
  • Secure enclave usage for keys and tokens; jailbreak/root detection policies aligned to your risk appetite, not one-size-fits-all blocking.

Where this shows up

  • Inspection rounds for infrastructure and public works with mandatory photo evidence and GPS context.
  • Retail execution and van-sales in low-connectivity regions.
  • Field maintenance tied to asset hierarchies and warranty entitlements.

Capability · Multi-cloud reliability & FinOps discipline

Cloud foundations that finance and security can defend in a board deck

Landing zones, platform engineering, and cost governance tailored to regulated workloads—VPC isolation, workload identity, secrets rotation, and unit economics that do not surprise procurement mid-quarter.

We treat infrastructure as code with peer-reviewed modules, drift detection, and promotion paths that mirror how you already govern software releases.

What we deliver

  • Landing zones aligned to CIS-style baselines with centralized logging, guardrails for public endpoints, and least-privilege service accounts per workload.
  • Kubernetes or serverless topologies with autoscaling policies tied to SLOs—backpressure, circuit breakers, and graceful degradation paths exercised in game days.
  • FinOps rituals: allocation tags, anomaly detection on spend drivers, and reserved capacity strategies with explicit trade-offs documented for finance.
  • Backup, restore, and DR drills with RPO/RTO evidence—runbooks that operators can execute without paging the original authors.

Where this shows up

  • Multi-region SaaS serving regulated customers with data residency boundaries.
  • Lift-and-shift followed by strangler modernization of batch schedulers and file-based integrations.
  • Analytics platforms where warehouse costs are tied to product margins and need active tuning.

Capability · Governed AI & decision automation

AI systems you can defend: citations, guardrails, and measurable quality

We implement retrieval-augmented assistants, document classification, and workflow automation where answers must cite sources, prompts are scrubbed for sensitive fields, and model behavior is regression-tested like any other critical path.

Human-in-the-loop is first-class: escalation queues, reviewer attribution, and feedback loops that improve retrieval—not opaque retraining on production traffic without governance.

What we deliver

  • Evaluation harnesses with golden datasets, toxicity and PII checks, and latency/cost envelopes enforced at routing time.
  • Chunking and embedding strategies tuned to your document taxonomy—contracts, SOPs, engineering drawings metadata—not generic “dump PDFs and pray.”
  • Orchestration layers that enforce tool use policies: which APIs an agent may call, with which OAuth scopes, and with full audit logs.
  • Operational dashboards for drift, grounding failures, and escalation rates—so product owners retire experiments that do not meet bar.

Where this shows up

  • Internal copilots for support and operations teams with access tiering mapped to HR systems.
  • Invoice and order exception triage with confidence thresholds and straight-through posting when safe.
  • Predictive maintenance signals fused with CMMS work orders and parts availability.

Capability · Security engineering & assurance readiness

Security embedded in delivery—not a gate the week before launch

Threat modeling, secure SDLC checkpoints, and evidence packs that map to SOC 2, ISO 27001, or sector-specific expectations—without paralyzing product velocity.

We pair with your security and GRC teams to prioritize findings by exploitability and business impact, then drive remediation with traceable tickets and re-validation.

What we deliver

  • STRIDE-style threat models per major release, with abuse cases translated into automated tests and monitoring probes.
  • SBOM generation in CI, dependency update policies, and secret scanning with rotation playbooks—not alerts nobody owns.
  • Hardening baselines for containers and VMs, key management integration (HSM/KMS), and privileged access reviews with time-bounded break-glass.
  • Third-party pen test preparation, joint readouts, and fix sprints with severity-based SLAs tracked to closure.

Where this shows up

  • New vendor integrations touching customer PII or financial data.
  • Zero-trust rollouts for contractor access to production-adjacent environments.
  • Board-level readiness for customer security questionnaires and onsite audits.

We do not sell “checkbox compliance.” We produce the artifacts and telemetry that let your internal teams and external auditors follow the story from control → implementation → evidence.

Tell us the workload—not the buzzwords

Share constraints, integrations, and success measures. We will respond with a concise view of approach, risks, and a realistic path to production.

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