AI Engineering & Integration
Engineer reliable AI pipelines, APIs, and integrations across cloud, data platforms, and enterprise applications so intelligence flows through the business.
Intelligence Only Matters if It Reaches the System of Record
A model sitting in a notebook creates no business value. We engineer the pipelines, APIs, and event-driven integrations that connect models and agents to the applications your teams already use — CRM, ERP, ticketing, data warehouses — so predictions and recommendations show up where decisions are actually made.
Every integration is built with production concerns first: authentication, rate limiting, retries, observability, and rollback paths, so the AI layer behaves like any other dependable service in your stack.
- Enterprise system integration (CRM, ERP, ticketing, data platforms)
- Data pipelines & feature stores for reliable model inputs
- API and event-driven architecture for real-time inference
- Cloud-native deployment across AWS, Azure, and GCP
- Observability, logging, and rollback paths for every integration
Sub-Services & Capabilities
Comprehensive solutions tailored to every stage of your initiative.
Enterprise System Integration
We connect AI models and agents to the systems your teams rely on — CRM, ERP, ticketing, and internal tools — so outputs are consumed inside existing workflows instead of a separate dashboard nobody checks.
- CRM & ERP integration
- Ticketing & workflow tools
- Legacy system connectors
- Authentication & access control
Data Pipelines & Feature Stores
We build the ingestion, transformation, and feature-serving infrastructure that keeps models fed with fresh, reliable data — batch or real-time — so accuracy does not degrade in production.
- Batch & streaming pipelines
- Feature store design
- Data quality & validation
- Versioned, reproducible datasets
API & Event-Driven Architecture
We expose models and agents through well-designed APIs and event streams, with the rate limiting, retries, and observability needed to run reliably under real production traffic.
- REST & streaming APIs
- Event-driven inference triggers
- Rate limiting & retry logic
- End-to-end observability
Real-World Applications
How organizations leverage our expertise to solve critical business challenges.
CRM-Embedded Lead Scoring
Integrated a lead-scoring model directly into the sales CRM, surfacing scores and reasons inline with each record.
Outcome: Sales team adoption reached 95% within the first month — no separate tool to check.
Real-Time Inventory Feature Pipeline
Built a streaming feature pipeline feeding real-time inventory and pricing signals to a demand-forecasting model.
Outcome: Forecast latency cut from a nightly batch to under five minutes.
Claims System API Integration
Exposed a fraud-risk model through a secured API consumed directly by the claims processing system.
Outcome: Risk scores available at point of claim intake with sub-second response times.
Key Differentiators
Every integration ships with monitoring, retries, and rollback paths, not just a working demo.
AI outputs land inside the tools your teams already use, driving real adoption.
Built on AWS, Azure, or GCP to match your existing infrastructure strategy.
Pipelines and connectors are built to support the next use case, not just the first one.
From Model to Production API
We turn trained models into dependable services — integrated, observable, and ready for real traffic.
CRM-Embedded Lead Scoring
Embedding lead scores directly inside the CRM drove 95% sales team adoption in the first month, with no separate tool required.
Ready to Integrate AI Into Your Systems?
Tell us what you need to connect and we'll scope the integration.