AI product surfaces
Portals, dashboards, and workflows that expose agents, RAG, and ML to users and operators.
AI platform engineering · Cloud-native
Engineering that ships AI
Web apps, APIs, data platforms, and cloud infrastructure — the full-stack foundation your AI agents, RAG pipelines, and production ML systems run on.
$50K–500K+Typical projects
1–2 wkDiscovery
24/7Critical ops
200+Projects shipped
What we build
Built for AI. Built to scale.
Production AI needs more than models — it needs applications, APIs, data pipelines, and cloud infrastructure your team can operate. We build the platform layer that wraps agents, RAG, and ML into shippable products.
APIs & services
Node, Python, and Go microservices with auth, observability, and model-serving hooks.
Cloud & data
AWS/Azure/GCP, Kubernetes, PostgreSQL, Kafka, and pipelines for training and inference.
Enterprise integration
EHR, CRM, ERP, and legacy connectors so AI systems plug into real workflows.
Capabilities
What we deliver
End-to-end delivery — from discovery through production and ongoing optimization.
AI Product Applications
Customer portals, operator dashboards, and internal tools — the UX layer for your AI systems.
- Agent consoles
- Review workflows
- Role-based access
APIs & Microservices
REST, GraphQL, and gRPC services with auth, rate limiting, and model orchestration.
- REST & GraphQL APIs
- OAuth2 & rate limiting
- OpenTelemetry tracing
Cloud Infrastructure
Terraform, Kubernetes, serverless — environments built for AI workloads.
- Terraform IaC
- Kubernetes orchestration
- GPU & inference routing
Data Platforms
ETL, feature stores, and streaming pipelines feeding RAG indexes and model training.
- Kafka event streams
- Vector store pipelines
- Warehouse modeling
AI System Integration
Connect agents and models to Salesforce, Epic, SAP, and custom enterprise systems.
- CRM & EHR connectors
- Webhook orchestration
- Legacy API facades
Production Delivery
CI/CD, testing, documentation, and handoff so your team owns the platform long-term.
- Automated CI/CD
- Integration testing
- Runbooks & docs
How we work
Discovery to production
A proven delivery rhythm — scoped for accuracy, structured for scale.
Discovery
Paid 1–2 week engagement — requirements, architecture, AI integration points, and milestones.
Build
Agile delivery with fixed-price milestones, weekly demos, and transparent progress.
Launch
Production deployment, monitoring, runbooks, and team training.
Support
Optional retainers with 24/7 on-call for critical production systems.
Technology
The stack
Production-proven tools and deliverables chosen for your constraints.
Layer 01
Frontend
Layer 02
Backend
Layer 03
Data & AI
Layer 04
Infra
$50K+Project minimum
1–2 wkDiscovery
10+Years building
200+Projects shipped
01How does custom software support AI solutions?
We build the applications, APIs, data pipelines, and cloud infrastructure that wrap agents, RAG systems, and ML models into production products your users and operators can actually use.
02Can you integrate AI into existing systems?
Yes — we connect agents and models to EHR, CRM, ERP, and legacy platforms via APIs, webhooks, and incremental modernization patterns.
03Do you build AI models or the platform around them?
Both. We ship full AI solutions — models, agents, and RAG — plus the custom software layer (portals, APIs, infra) required to deploy and operate them in production.
04Do you provide maintenance after launch?
Yes — retainers from ongoing feature work to 24/7 on-call for mission-critical production systems.
Next step
Ready to build the platform for your AI?
Tell us about your AI initiative — we'll propose architecture, integration points, timeline, and milestone-based pricing.