Enterprise technology engineering
Engineering the Systems Behind Modern Enterprise.
Deploint engineers AI, software, cloud, data, cybersecurity, and digital systems for organizations operating at scale.
- AI.
- Software.
- Cloud.
- Data.
- Security.
- Digital Engineering.
- From complex problems to production systems.
01Enterprise technology
Technology for environments where reliability matters.
- 01
Healthcare
Clinical operations, medical data platforms and patient workflows engineered around privacy, interoperability and human oversight.
- 02
Industrial
Sensor-to-decision systems connecting industrial assets, edge compute, AI models and digital twins to operations teams.
- 03
Manufacturing
Smart-factory software spanning vision-based quality inspection, production analytics and connected equipment.
- 04
Financial Services
Real-time data, risk analytics and AI assistants built on secure, auditable cloud platforms.
- 05
Technology
Engineering capacity for SaaS, AI products, developer platforms and the data infrastructure beneath them.
- 06
Energy
Asset monitoring, field operations and analytics for distributed energy infrastructure.
- 07
Telecommunications
Network analytics, automation and AI operations for infrastructure that cannot go dark.
- 08
Logistics
Fleet, warehouse and supply-chain intelligence built on IoT tracking, optimization and computer vision.
- 09
Government & Defense
Secure software, data and AI engineering for mission-critical programs, delivered directly or alongside prime contractors.
02Capabilities
From architecture to production.
- 01
AI & Agentic Engineering
Production AI systems with retrieval, agents, tool use, guardrails and evaluation, engineered into real enterprise workflows.
- Agentic AI
- RAG
- LLM applications
- Model orchestration
- AI evaluation
- Computer vision
Explore
- 02
Software Engineering
Distributed systems, platforms and applications designed for reliability, maintainability and sustained scale.
- Distributed systems
- Microservices
- APIs
- Real-time systems
- Workflow platforms
- Web & mobile
Explore
- 03
Cloud & Platform Engineering
Resilient cloud infrastructure, internal developer platforms and delivery pipelines across AWS, Azure and Google Cloud.
- Kubernetes
- Terraform
- CI/CD
- SRE
- Observability
- Disaster recovery
Explore
- 04
Cybersecurity
Security engineered into identity, applications, infrastructure and every stage of the software delivery lifecycle.
- Zero Trust
- IAM
- DevSecOps
- Threat modeling
- Cloud security
- Secure SDLC
Explore
- 05
Data & Machine Learning
Data platforms, streaming pipelines and ML operations that turn complex data into operational intelligence.
- Lakehouses
- Streaming
- ETL / ELT
- MLOps
- Predictive analytics
- Real-time analytics
Explore
- 06
Digital Engineering
Software for the physical world: IoT, edge computing, embedded systems, computer vision and digital twins.
- IoT
- Edge computing
- Embedded systems
- Digital twins
- Computer vision
- Industrial automation
Explore
03AI engineering
AI engineered for production.
Production AI pipeline
08 stages
- 01Data
- 02Retrieval
- 03Models
- 04Agents
- 05Tools
- 06Guardrails
- 07Evaluation
- 08Production
01
Enterprise AI
AI capabilities integrated into the systems and processes you already run.
02
AI agents
Agentic workflows with scoped tools, memory and human checkpoints.
03
RAG
Retrieval over enterprise knowledge with permissions-aware indexing.
04
AI copilots
Assistants embedded in the tools employees already use.
05
AI automation
Document, ticket and workflow automation with measurable accuracy.
06
Computer vision
Detection, inspection and tracking from cloud to edge devices.
07
Model orchestration
Routing, fallbacks and cost controls across multiple models.
08
AI evaluation
Offline and online evaluation suites that gate every release.
04Engineering discipline
Complex systems require disciplined engineering.
Engineering lifecycle
Phase 01 / 09
Discover
We map the business problem, the systems involved and the constraints that matter: regulatory, operational and organizational.
Typical outputs
- 01Problem statement & success criteria
- 02Current-state system map
- 03Risk & constraint register
05Industries
Engineering across critical industries.
Industry 01
System pattern
Healthcare
Clinical operations, medical data platforms and patient workflows engineered around privacy, interoperability and human oversight.
- Clinical AI
- Interoperability
- Medical data platforms
- Remote monitoring
- Workflow automation
Typical system flow
- Clinical systems
- Interoperability
- Data platform
- AI services
- Care teams
06Enterprise modernization
Modernize without replacing everything.
Core platforms that still run the business. We start by understanding what they do well, and what is costly to change.
- Mainframe
- Monoliths
- On-prem databases
- Batch jobs
Modernization path
01 / 06
Legacy Systems
Core platforms that still run the business. We start by understanding what they do well, and what is costly to change.
- Mainframe
- Monoliths
- On-prem databases
- Batch jobs
Modernization services
- 01Legacy modernization
- 02Cloud migration
- 03API modernization
- 04Application modernization
- 05Data modernization
- 06Infrastructure modernization
- 07AI transformation
- 08Workflow automation
07Case studies
Reference architectures for hard problems.
- Concept Architecture
01Healthcare
AI Clinical Operations
A retrieval-augmented operations assistant that helps clinical operations staff find policy, scheduling and routing information, with human review at every decision point.
View architecture
- Concept Architecture
02Industrial
Industrial Predictive Maintenance
Vibration and thermal telemetry processed at the edge, modeled in the cloud and surfaced to maintenance planners as ranked, explainable work recommendations.
View architecture
- Concept Architecture
03Technology
Enterprise Cloud Modernization
An incremental path from a monolithic, data-center-hosted platform to containerized services on a governed multi-account cloud landing zone.
View architecture
- Concept Architecture
04Financial Services
Real-Time Financial Intelligence
A streaming architecture that scores transactions for risk in flight and gives analysts an auditable trail from signal to decision.
View architecture
- Concept Architecture
05Manufacturing
Computer Vision Quality Inspection
Line-side cameras and edge inference that flag surface defects in real time, with operator feedback loops that continuously improve the model.
View architecture
- Concept Architecture
06Logistics
Intelligent Supply Chain
A shared data layer across orders, fleet telemetry and warehouse events that powers demand forecasting and exception management.
View architecture
What we engineer
AI. Software. Cloud. Data. Security. Digital Engineering.
From complex problems to production systems.
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