Where we work
Sorted by What We’ve Proven
Not by market size. The first tier has named clients and published outcomes; the second is honest about what we've delivered without a case study to point at.
Healthcare
Audit trails on every record access, data residency considered before architecture, and integration with systems designed long before REST existed.
What We Build: EHR Integration, Compliance & Audit Systems, Care Coordination Tools
Fintech
Reconciliation-aware data models, permission structures for auditable records, and lead automation with financial context at each touchpoint.
What We Build: Payment Processing, Fraud Detection, Regulatory Compliance
EdTech
Accessibility-first architecture, SCORM-aligned content delivery, and real-time learner tracking integrated with institutional LMS platforms.
What We Build: Learning Management Systems, Adaptive Assessment, Student Data Platforms
Real Estate
Multi-region portfolio analytics, interactive data visualization, and market intelligence dashboards for property investment decisions.
What We Build: Property Management Platforms, Listing & Search Engines, Transaction & Escrow Systems
eCommerce
Scalable catalog architecture, multi-channel order orchestration, and inventory synchronization across warehouse and fulfillment systems.
What We Build: Storefront & Checkout, Inventory & Order Management, Recommendation Solutions
Food & Beverages
Unified kitchen-to-table operations, real-time order routing across multiple locations, and POS-to-inventory synchronization at scale.
What We Build: Ordering & Delivery Platforms, Inventory & Restaurant Management
The Engineering Decisions Your Industry Demands
You know your market size better than we do. What's useful is knowing whether we understand the constraint that decides your architecture.
Every record access is auditable, data residency is decided before architecture, and you’ll integrate with systems designed before REST existed.
Audit logging is a schema decision, not a feature. We design the access trail alongside the data model, because retrofitting it means rewriting every query path.
Every transaction needs traceability, role-based permissions, and accurate reconciliation across financial systems where conflicting records can carry serious consequences.
Transaction and audit models prioritize consistency from the start. Authorization and reconciliation logic are built into core workflows, not added after financial data exists.
Student records are protected by law, content must interoperate across institutional systems, and accessibility is non-negotiable from the first screen.
We architect permission models at the schema level and design content structures for LMS interoperability, because retrofitting either means rebuilding the delivery layer.
Property data arrives from fragmented sources in incompatible formats, and portfolio decisions depend on geographic and market context that changes daily.
We normalize data for spatial analysis and role-specific reporting at ingestion, because dashboards built on unclean property feeds can distort valuation decisions.
Catalogs scale faster than databases expect, orders split across channels and warehouses, and payment data must remain isolated while inventory stays synchronized.
We separate catalog, order, and payment data models with event-driven synchronization, because coupling them can cause checkout failures when inventory updates spike.
Orders flow through front-of-house, kitchen, and delivery in seconds, while inventory depletes across locations and menus change by the hour.
We unify order, inventory, and kitchen systems on a shared operational data layer, because disconnected POS and stock feeds can create phantom orders during peak hours.
These constraints come from engagements we've delivered. Where your domain has one we haven't met, discovery is where we find it and we'd rather find it in week two than month five.
Our Featured Work
Systems We Built, by Domain
Engagement length included, because staying in a sector for four years is a stronger domain claim than any statistic.
Fans in. Athletes up.
Learn together. Grow forever
No excuses. Only results.
Post once. Reach everywhere.
Sign with certainty. Prove with proof.
Trust built in. Risk ruled out.
What Applies, and What We Actually Hold
Anyone can list frameworks on a slide. Fewer will tell you which ones they hold, which ones they build to, and which ones are yours to own.
| Industry | Frameworks That Apply | What We Hold | What That Means in Practice |
|---|---|---|---|
| Healthcare | HIPAA · HITECH · HL7 · FHIR | ISO 27001:2022 | We build to HIPAA technical safeguards and define responsibilities through the engagement. Your compliance program remains yours; we engineer the systems to support it. |
| Finance & Fintech | PCI DSS · PSD2 | ISO 27001:2022 · CMMI Level 3 | We build PCI-scoped systems and minimize that scope by design. Your cardholder environment remains subject to your acquiring and compliance requirements; we provide the engineering evidence. |
| EdTech | FERPA · COPPA · WCAG 2.2 | ISO 27001:2022 · ISO 9001:2015 | Learner-data protection and accessibility are designed into the platform from the start. Privacy requirements and institutional responsibilities are scoped before implementation rather than assumed. |
| Real Estate | RESPA · Fair Housing Act · MLS | ISO 9001:2015 · CMMI Level 3 | Property-data workflows are designed with traceability, access controls, and jurisdiction-specific requirements in mind. Regulatory responsibilities are scoped during discovery rather than treated as assumptions. |
| eCommerce | PCI DSS · GDPR · CCPA | ISO 27001:2022 · ISO 20000-1:2018 | Payment and personal-data boundaries are defined at architecture. Privacy, security, and operational controls are incorporated into commerce workflows rather than retrofitted later. |
| Food & Beverages | FDA · HACCP · GS1 | ISO 9001:2015 · ISO 20000-1:2018 | Product, inventory, and operational workflows are designed around traceability and consistent data handling. Applicable food-safety requirements are scoped according to the operating model and geography. |
| All Sectors | GDPR · Data Residency | ISO 27001:2022 · ISO 9001:2015 · ISO 20000-1:2018 · CMMI Level 3 | Data processing agreements are available, sub-processors are documented, and residency can be configured per engagement. NDAs can be established before technical discussions. |
Every Industry Brings New Requirements. Our Way Of Working Stays Fixed.
Early Clarity
Understanding Scope before any commitment.
Two to three weeks producing a feasibility report, solution outline, and a fixed-price estimate you keep either way.Staged Delivery
A defined path from concept to production.
Six defined stages with named deliverables fixed in the contract, so what you receive at each stage is settled.Ongoing Ownership
Our responsibility doesn't end at launch.
Monitoring, incident response, and patching measured against an SLA, handled by the engineers who built it.Verified Standards
Certifications that support every project.
ISO 27001:2022, ISO 9001:2015, ISO 20000-1:2018, and CMMI Level 3 govern our security, quality, and delivery work.Named Team
The same engineers throughout delivery.
The people who scope the work remain the same people who build, ship, launch, maintain, and support it throughout.How We Approach a Domain We Haven't Built In
New verticals don't scare us. Unstated assumptions do. Here's how we surface the constraints your industry treats as obvious before they become expensive surprises.
We haven't built for every vertical on earth. If you're in a sector we haven't listed, we don't have a case study to show you and we won't pretend a market statistic is the same thing.
What we do have is 15 years of pattern recognition. The constraints that make a domain hard usually rhyme across industries. Audit trails, seasonal load, offline tolerance, and integration with systems nobody wants to touch show up nearly everywhere.
The risk in a new domain isn't technical. It's that a requirement everyone in your industry considers obvious never gets stated, because nobody thought it needed saying.
- Domain Review Inside Discovery. A dedicated review of the assumptions your industry treats as given, validated with your people rather than a research summary.
- A Domain Expert on the Engagement. When we don't have the depth in-house, we bring in a relevant sector expert and name them in the proposal.
- Phased Scope. The first release stays deliberately narrow, so a wrong domain assumption surfaces in month two rather than month eight.
- Discovery Priced Separately. If discovery shows we're the wrong team for your sector, we'll say so. You keep the architecture, findings, and estimate regardless.