Built for the messy realities of your industry.
Generic platforms break the moment they meet a regulator, a factory floor, a clinic on a Sunday night or a peak-season distribution centre. We ship software that understands the work \u2014 the constraints, the compliance, the people on the other end.
Different industries. Different stakes. Same standard of care.
We don’t parachute in with a slide deck. Every sector below has a dedicated practice \u2014 senior engineers who’ve shipped in it, reference architectures we’ve sweated, and the scar tissue to back the advice.
Finance & Banking
Core banking modernization, real-time fraud, payments orchestration and the RegTech automation that keeps compliance from owning your roadmap.
12msp99 fraud decisioningEducation
Adaptive learning, AI tutoring, attendance & engagement analytics, SIS/LMS integration — for K-12, higher ed and corporate L&D.
+34%course-completion liftHealthcare
FHIR data fabrics, AI clinical scribes, remote patient monitoring and the interoperability work that gives clinicians their evenings back.
8h/wkback to cliniciansManufacturing
IIoT, digital twins, predictive maintenance, computer-vision QA, MES integration — Industry 4.0 without the buzzword tax.
−41%unplanned downtimeRetail & E-Commerce
Headless commerce, real-time personalization, search/relevance, demand forecasting and the OMS plumbing that holds Black Friday together.
+24%conversion liftLogistics & Transportation
Real-time fleet telemetry, route optimization, predictive ETAs, digital freight platforms and the OR-driven dispatch that pays back fuel.
−18%miles drivenMove money in milliseconds. Catch fraud before the customer feels it.
Legacy cores still run the world’s banks — and they don’t have to be the bottleneck. We sit between the COBOL and the customer, building the real-time fraud, payments and reg-reporting layers that make a 40-year-old core feel like a 4-week-old fintech.
- Real-time fraud & AMLDecision card-not-present, wire and instant-payment events in single-digit milliseconds. Feature store + graph signals + risk model in a streaming feedback loop.→ Kafka · Flink · feature store · graph DB
- Core modernization & payments orchestrationStrangler-fig migrations off mainframe cores. ISO 20022 native rails. One orchestration layer for cards, ACH, RTP, FedNow, UPI & SEPA Instant.→ Java/Spring · Postgres · Kong · Camunda
- RegTech that doesn’t own your roadmapAutomated SAR/CTR/KYC workflows, transaction-monitoring tuning, evidence vaults for SOX/PCI-DSS audits. Compliance becomes a one-click report, not a one-quarter project.→ Snowflake · dbt · Vault · OpenSearch
- −67%False positives · fraud queue
- 12msp99 transaction decision
- $4.2MAnnual reg-reporting saved
Learning that adapts to the learner \u2014 at the speed of a single keystroke.
Classrooms have one teacher and thirty students moving at thirty different paces. We build the platforms that close that gap — adaptive paths, AI tutors that respect the syllabus, and the analytics that tell a teacher who needs help before the parent-teacher meeting does.
- Adaptive learning enginesMastery-based pathways, dynamic difficulty, item-response calibration. Built on your curriculum standards — not a generic content blob.→ Knowledge graph · IRT · vector recall
- AI tutors with curriculum guard-railsLLM tutors grounded in your textbook, your worked examples, your rubric. They never invent prerequisites — and they hand back to a human at the first sign of confusion.→ Private RAG · Anthropic · pgvector
- Engagement & outcome analyticsAttendance, time-on-task, mastery velocity. Teacher dashboards that surface the at-risk learner this week — not after the term ends.→ BigQuery · Looker · early-warning ML
- +34%Course-completion lift
- 12×Cheaper formative grading
- −9 daysAt-risk detection lead-time
Give clinicians their evenings back. Give patients a record that travels with them.
Healthcare data is fragmented, regulated and high-stakes — and clinicians are paying for it with pajama time. We build the FHIR fabrics, AI scribes and decision-support tools that let the work disappear back behind the work.
- FHIR-native data fabricOne patient timeline across EHRs, labs, imaging, wearables and claims. SMART-on-FHIR apps, bulk export, Da Vinci payer-provider exchange — out of the box.→ HL7 FHIR R4 · HealthLake · Snowflake
- AI scribes & clinical decision supportAmbient documentation that drafts the SOAP note while the visit is still happening. Guideline-aware decision support that defers to the clinician — every time.→ Whisper · private LLM · evidence retrieval
- Remote patient monitoring & prior-authWearable & home-device ingestion at clinical-grade reliability. Automated prior-auth that pulls evidence from the chart and submits the form so the patient gets care this week.→ MQTT · time-series · payer APIs
- 8 h/wkBack to each clinician
- −72%Prior-auth turnaround
- <500msPatient-timeline query · p95
The factory sees itself. The line tells you before it stops.
A plant doesn’t care about your software stack. It cares about uptime, yield and the next shift. We sit on the OT/IT boundary — wiring sensors, MES, ERP and vision systems into a single live picture of the floor, then layering ML that earns its keep in fewer breakdowns.
- IIoT & digital twinsOPC-UA / MQTT ingestion from PLCs, drives, robots and edge gateways. A live, queryable twin of the line that runs alongside the physical one.→ OPC-UA · MQTT · Azure IoT · TimescaleDB
- Predictive maintenance & CV qualityVibration, current, acoustic signatures into failure-mode models. Camera-based defect detection at line speed — pull bad parts before they leave the cell.→ PyTorch · Triton · edge inference
- MES · ERP · supply-chain glueSAP, Oracle, Plex and homegrown MES all speak different dialects. We translate, reconcile and expose a clean event stream that finance, planning and ops can all trust.→ Kafka · SAP iDoc · BAPI · idempotent ETL
- −41%Unplanned downtime
- +6.2 ppOEE lift · 12 mo
- 99.7%First-pass yield
The store that knows the shopper on their second click.
Personalization isn’t a banner — it’s a stack. Real-time identity, search relevance, demand forecasting and the OMS plumbing that keeps the “in stock” badge honest at midnight on Black Friday.
- Headless & composable commerceStorefront in Hydrogen / Next, commerce in Shopify or commercetools, content in Sanity. Replatform without freezing the roadmap for nine months.→ Hydrogen · commercetools · Sanity · Vercel
- Real-time personalization & searchIdentity-stitched event stream into vector + lexical hybrid search. Sub-150ms results, ranking that respects margin, recommendations that respect inventory.→ Segment · Algolia · vector recall
- Demand forecasting & OMSSKU-store-day forecasts you can argue with. Order routing across stores, DCs and dropship partners. “In stock” that means in stock, even on the sixth marketplace.→ Snowflake · Prophet · Manhattan · IBM Sterling
- +24%Conversion lift
- 7×Paid-media ROAS · best cohort
- <150msSearch · p95
Every truck visible. Every route justifiable. Every ETA you can stake a customer on.
The cost of a logistics business is the cost of bad information moving slower than the freight. We close that gap — real-time telemetry, OR-driven route optimization, predictive ETAs the customer-care team can actually trust.
- Real-time fleet telemetryELD, telematics gateways and trailer sensors into a single stream — geo-fenced, idle-aware and tamper-resilient. The dispatch screen finally matches the road.→ MQTT · Kafka · PostGIS · Mapbox
- OR-driven route optimizationTime-windowed VRP with real traffic, driver hours and load constraints. Pick-up densities, pallet shapes, customer service-levels — all in one solver, run nightly and re-run mid-shift on disruption.→ OR-Tools · OSRM · Valhalla
- Predictive ETA & digital freightETAs that move with weather, traffic and dock dwell — not from a static map. Carrier portals, EDI 214/990 automation and the booking flow the dispatcher actually wants to use.→ Gradient-boosted ETA · EDI · React
- −18%Miles vs. naïve plan
- +12 ppOn-time delivery rate
- 31msTelemetry → dashboard · p95
Audit-ready by default. Not by sprint.
Every industry above carries its own regulator. We build with the right controls from day one \u2014 evidence vaults, change records and policy-as-code \u2014 so audits are a one-click report, not a quarterly fire-drill.
Tell us the industry. We’ll bring the playbook.
You’ll talk to a senior engineer and a domain lead \u2014 not a sales pipeline. We’ll come prepared with reference architectures, three workable next-steps and an honest read on what shouldn’t change.