Oilfield Edge
Computing.
Field operations don't wait for the network. Sensor data arrives continuously, operational decisions happen in real time, and connectivity disappears without warning. Software that assumes a stable connection fails in these environments — not occasionally, but predictably.
PRUiM designs and builds edge computing systems for oilfield environments from first principles — offline-first architecture, deterministic sync, and Rust-native applications that operate reliably whether the network is up or not.
start a conversation →Why standard software
fails in the field.
Field connectivity is unreliable by design
Rig sites, remote field facilities, and distributed sensor networks operate in environments where network connectivity is intermittent at best. Systems designed for stable connections fail in these conditions — dropping records when the network disappears, duplicating data on reconnect, or simply losing state entirely. Software built for the office doesn't survive the field.
Data accumulates with no reliable path to the cloud
Field equipment generates continuous telemetry — sensor readings, drilling parameters, equipment state — whether or not a network connection exists. Without a reliable edge layer, that data either never reaches the cloud or arrives corrupted, out of order, and incomplete. The gap between what was captured and what was recorded grows silently.
Generic software stacks aren't built for field conditions
Consumer hardware assumptions — always-on connectivity, stable power, predictable environments — don't hold in oilfield deployments. Field laptops, ruggedized devices, and rig-side computers require software built explicitly for offline-first operation, not software retrofitted with a sync layer after the fact.
Sync failures are silent and destructive
When a naive sync process fails mid-transfer, the consequences are often invisible until an operator notices something wrong in the data. Duplicate records corrupt analytics. Missing records create gaps that look like system outages. Out-of-order arrivals produce nonsensical timelines. Each failure mode erodes trust in the platform.
Edge systems designed
for field reality.
Offline-first application architecture
Field applications designed from the start for intermittent connectivity — not retrofitted with offline support after the fact. Local data capture continues uninterrupted regardless of network state. The application works the same way whether the network is up, down, or flapping.
Deterministic edge-to-cloud sync
Every record written locally gets a monotonically increasing sequence number and a SHA-256 content hash. The sync process sends only unacknowledged records — never all unsynced data. Records are marked acknowledged only after explicit cloud confirmation. No data is lost on failure; no data is duplicated on retry.
Rust-native edge applications
Edge applications built in Rust for reliability, performance, and memory safety in resource-constrained field environments. Rust's guarantees eliminate entire categories of runtime failures — memory leaks, null pointer exceptions, data races — that plague field software built in higher-level languages.
SQLite as the edge ledger
Local data capture into SQLite — no server process, no configuration drift, no connection pooling. A single file acts as the write-ahead ledger. When connectivity drops for hours on an active rig, the ledger keeps writing. When it returns, the sync cursor picks up exactly where it left off.
Deduplication and ordering at cloud ingestion
Cloud-side ingestion validates SHA-256 hashes before writing. Duplicate batches are acknowledged successfully but not written twice. Records arrive with their original edge timestamps and sequence numbers, so time-series queries operate on actual sensor time — not ingestion time.
Principal-led architecture
Every engagement is handled directly at the principal level. No junior handoff, no account management layer. Direct ownership of architecture decisions, platform design, and build execution from scoping through deployment.
Built for field environments.
Proven in production.
Principal architect and technical lead for a production drilling telemetry platform, built from the ground up for a leading directional drilling company. The cloud ingestion tier pulls WITSML telemetry from TOTCO, Pason, and WellSeeker into Azure PostgreSQL and has run continuously across active rig sites.
In production today, that platform supports more than 1,900 wells, processes over 100 million telemetry records per day, and holds more than 2.4 billion historical records.
The edge layer extends the platform to the rig site through a Rust/Tauri capture agent designed for offline-first operation on field laptops. Telemetry is written locally into SQLite, synchronized deterministically through SHA-256 deduplication and sequence-numbered replay, and delivered to Azure exactly once when connectivity returns.
Need field software that works
when the network doesn't?
Every engagement is handled at the principal level — direct ownership of architecture decisions, platform design, and build execution. We work with a small number of clients at a time, by design.
start a conversation →