Network Reality
Drops • Retries • Latency • Multiple Devices
Offline + Real-Time Systems Trusted in Production Workflows
Durable local commits before network calls.
Instant UX from local state, not round-trips.
Core flows keep working without connectivity.
Own the data model, sync logic, and transport.
Most apps fail when the network drops because they treat connectivity as guaranteed. We design durable local state, idempotent sync, and conflict resolution, so your product keeps moving on Day 2.
What most “build teams” ship:
Writes depend on round-trips; users lose work when signal drops.
Duplicate updates, overwrites, and silent divergence across devices.
No replay, no tracing, no drift detection for data correctness.
Offline-first + real-time, production-ready:
Every action commits locally first; sync happens after, with retry and replay.
Idempotent operations, versioning, and reconciliation patterns to preserve truth.
Sync tracing, retries, failure reasons, and deterministic replay for correctness.
Instant UX. Correct Data. Always.
From local state to real-time truth as demand grows.
Durable local writes, indexed reads, and fast UX even with zero connectivity.
Queue-based sync, retries, idempotent operations, and background reconciliation.
Deterministic reconciliation patterns to prevent overwrites and silent divergence.
WebSockets/subscriptions/event streams that keep teams synchronized instantly.
Adaptive transport, batching, and edge-case handling for flaky mobile networks.
Tracing, audit logs, failure reasons, and alerts for correctness as demand grows.
We build the loop: local commit → queue → sync → reconcile → publish real-time → observe correctness.
Durable State
Local transactions, indexed reads, and deterministic state updates that never depend on connectivity.
Retry + Replay
Queued operations, idempotency, backoff, and replay so correctness survives mobile networks.
Truth Preservation
Merge strategies, versioning, and safeguards to prevent overwrites and silent divergence.
Ops Control
Streams, presence, and sync tracing so teams see what happened, and why, across devices.
We deploy the Coretus Sync Module™, a secure, ready-made foundation for local-first storage, queued sync, conflict resolution, and monitoring.
Your teams focus on product flows and user adoption, not rebuilding data correctness.
Drops • Retries • Latency • Multiple Devices
Integrated delivery units specialized in local-first data, sync engines, and real-time reliability, so you ship once, not rework forever.
Designs durable local data models, schema evolution, and fast UX under connectivity constraints.
Builds reconciliation policies, versioning, and deterministic replay to preserve correctness across devices.
Squads arrive with retry/replay patterns, conflict policies, and sync monitoring, built-in from day one.
Streams, subscriptions, presence, and low-latency transport tuned for real-world networks.
Monitoring, traces, failure analytics, and alerting to keep correctness stable as you scale.
Reliability is a loop: local commit, sync queue, reconcile, publish updates, and observe correctness.
Transactions, indexing, and offline reads/writes that power instant UX.
Queued ops, retries, batching, and idempotency to survive mobile networks.
Push updates, presence, and subscriptions for low-latency collaboration.
Tracing, audits, drift signals, and alerting to keep data truthful as demand grows.
A phased model that prevents data chaos: local model, sync engine, conflict policies, then scale.
Define offline-critical flows, data model, sync boundaries, and correctness metrics.
Implement durable local writes, indexing, optimistic UI, and schema evolution strategy.
Queue ops, idempotency, retries, reconciliation rules, and replay for correctness.
Add live updates, presence, tracing, audits, and alerts to keep correctness stable as you scale.
Work orders failed in low-signal areas, causing lost updates and re-entry.
Delivered local-first writes + retry/replay sync with activity records.
"Teams stopped losing work. Offline became the default, and sync just works in the background."
Updates arrived late and conflicted across devices, creating duplicate actions.
Shipped presence + streams with deterministic reconciliation and monitoring-backed ops.
"Everyone sees the same truth instantly, no more guessing which device is correct."
Choose the engagement aligned with delivery speed, correctness needs, and Day-to-Day Ownership.
Embedded team specialized in local-first data, sync correctness, and real-time systems.
Define offline-first architecture, sync strategy, correctness metrics, and rollout plan.
We deliver a clearly scoped solution through defined milestones, clear decision-making, and acceptance criteria, with complete IP and knowledge handover.
Offline-first systems must balance speed with correctness. We embed conflict policies, activity records, and deterministic replay, so data remains trustworthy in production.
Traceable operations with safe retries and replays for correctness.
Encrypted-at-rest options and guarded data access patterns.
Trace IDs, audit logs, and alerting to catch regressions early.
Traceable Ops
Local Controls
Merge Policies
Sync Traces
Yes. Core flows commit locally first; connectivity only affects background sync, not UX.
The app retries safely, avoids duplicate changes, and records what happened so problems are easier to find.
We implement merge policies (and when needed, CRDT-style patterns) to preserve truth.
Yes. We design streams/subscriptions/presence with fallbacks and monitoring.
Sync traces, failure reasons, audits, and alerting, so regressions get caught early.
We can deliver a rapid feasibility audit for your most critical offline flow and sync constraints.
Request BriefingBuild real-time apps that keep working when the connection slows down or disappears. We add safe local storage, reliable syncing, conflict handling, and monitoring so users do not lose work.
Local-First Data Layer
reliable Sync + Conflict Handling
Production Monitoring