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Software solutions for teams that need tools shaped around real workflows, regulation, and operational complexity - built with senior engineers in control and AI as leverage, not a replacement.
Since 2013, we delivered
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Different industries have different workflows, compliance constraints, integrations, and user expectations.
Software for telemedicine platforms, remote patient monitoring, professional health networks, clinical documentation, and AI-supported clinician workflows.
Telemedicine and consultation booking platforms
Remote patient monitoring and post-discharge adherence
AI-supported clinical documentation and workflow tools
Doctor-to-doctor and patient-to-doctor networks
Digital health products with wearable and IoT data
Software for embedded finance, marketplace payouts, financial analytics, revenue intelligence, and risk-aware automation for product teams and platforms.
Embedded finance SDKs and "financial services as a function" for B2B SaaS
Marketplace payouts, commissions, and seller financial flows
AI-driven sales analytics, forecasting, and revenue intelligence
Financial planning, P&L, cash-flow, and unit-economics product features
Risk-aware automation, fraud signals, and decisioning
Software for connected vehicles, mobility platforms, dealer and aftermarket tools, fleet operations, and AI-enabled in-vehicle and companion experiences.
Connected-vehicle companion apps and in-vehicle user experiences
Mobility, ride, and shared-vehicle platforms
Dealer, aftermarket, and service-center tools
Fleet management and vehicle telematics dashboards
AI-enabled assistants and predictive features for drivers and operators
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BigSister AI
This is a system designed for tracking and analyzing the performance of sales departments. It's like having a sales superhero that analyzes data in real-time, predicts stuff, and lets you customize reports.
VitalAI
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We built an AI-driven remote monitoring system that helps hospitals and care teams track patients after discharge using wearable data and predictive alerts. As a result, patients stay engaged, risks are identified early, and readmissions are reduced.
Check out reviews and press mentions. Short and sweet, find out what we do that customers love us.
User roles and workflows differ
A clinician's day does not map to a finance operator's day or a fleet manager's day. We design product flows around actual users in actual jobs, not around personas in slides.
Compliance and risk vary by industry
HIPAA-style obligations in HealthTech, PCI / PSD2-like rules in FinTech, automotive safety and data-protection requirements — each one pulls the architecture in a different direction. We treat compliance as an architectural concern from day one, not as a final checklist.
Integrations are never the same
AI can accelerate parts of delivery, but critical decisions remain in human hands. Our senior team oversees architecture, business logic, integrations, quality assurance, security, and release readiness. Every important part of the product is reviewed and validated by experienced engineers, so speed never comes at the cost of reliability.
Success metrics depend on the business model
Readmission rate, transaction yield, time-to-service, fleet uptime — scope, KPIs, and delivery cadence follow the metric that actually matters for the business.
Product architecture should reflect operational reality
Clinical downtime, financial reconciliation, and vehicle uptime each set non-negotiable constraints. We build for the way the business actually runs in production, not for an idealized demo environment.
Our delivery DNA stays consistent — product-first thinking, senior engineers in control, AI used as leverage rather than as a replacement.
Yes. We work in HealthTech and FinTech where regulation, audit, and data protection are non-negotiable. We treat compliance as an architectural concern from discovery onward, and senior engineers stay in control of every release-critical decision.
Yes. A lot of our projects start as "we have a SaaS idea — can it work in HealthTech, FinTech, or Automotive?" We adapt product strategy, integrations, compliance logic, UX, and architecture to the vertical instead of forcing a generic version into a regulated or operationally heavy context.
Yes. We deliver full production-grade builds via AI-Accelerated Development, a Fast Fixed-Scope MVP with scope locked at the end of discovery, or software rescue and stabilization for unstable products that already exist.
Yes. We add AI features — assistants, copilots, smart search, recommendations, decision support, predictions, automation — where they create real product value. We don't add AI for the sake of it, and every line of AI-generated code is read and approved by a human engineer before it ships.
That's exactly what our vibecode rescue track is for, including products built with tools like Lovable, Cursor, or Bolt. We start with a fixed-scope, fixed-timeline audit and only move to T&M-based stabilization and recovery after the audit, because legacy AI-generated code is unpredictable and fixed-price rescue commitments are a guaranteed failure.
Most of our automotive work is currently under NDA. We can confirm Porsche is among the Fortune 500 / S&P 500 clients we have worked with, and we are happy to walk through relevant project context — connected-vehicle companion apps, mobility platforms, dealer and aftermarket tools, fleet operations — on a discovery call.
As honest as it gets. We are a small AI-augmented team with humans at the center. We do not promise "10x faster", "one-man teams", or AI replacing senior engineers. We use AI where it creates real leverage and we keep architecture, business logic, QA, and release decisions under senior human control.
The first step is a discovery call. We discuss the vertical, the product idea or current state, the operational and regulatory reality, and recommend the most suitable path: AI-Accelerated Development, a Fast Fixed-Scope MVP, or rescue / stabilization.
We do not treat AI as a standalone add-on. We approach it as part of product development, which means strategy, UX, architecture, delivery discipline, and business goals stay connected. The result is a product that is more useful, more stable, and easier to grow.
The best first step is a discovery call. We review your idea, product state, goals, and timeline, then recommend the most suitable path: AI-accelerated development, a fixed-scope MVP, or product rescue and stabilization.
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