Build expert systems that identify items, problems, and trends—fast.
We design and develop complete systems (UI + APIs + data pipelines) that implement AI technologies to turn your operational data into decisions your team can act on.
Ideal for manufacturing, logistics, service operations, ecommerce, and teams that need reliable workflows—not just demos.
What we build
Complete front‑end and back‑end systems that implement AI technologies to help you identify items, problems, and trends—with the data input and workflow tools your team needs.
Create fast, clean forms and tools for operators/analysts to input data, label cases, and review outcomes.
Rule-based logic, scoring, and guardrails—auditable decisions and consistent behavior.
LLMs, classifiers, embeddings, and retrieval—plugged into your workflows with safety checks.
Secure APIs, ETL/ELT, validation, and structured storage to keep your system dependable.
KPIs, trend charts, case queues, and confidence views so teams can act quickly.
Cloud hosting, CI/CD, monitoring, logging, access control, and ongoing improvement cycles.
How it works
We focus on measurable outcomes: faster identification, fewer errors, better trend visibility, and workflows your team actually uses.
- Discovery: define decisions, data sources, and success metrics.
- Design: UX for data input + review, plus system architecture.
- Build: front‑end, APIs, decision logic, AI integration, dashboards.
- Launch: QA, security checks, deployment, training materials.
- Improve: monitoring + feedback loop to boost accuracy over time.
Typical system flow
A practical pattern for “identify + act” expert systems.
Data input
Forms, uploads, scanners, integrations, and validation.
Decision engine
Rules + scoring + model outputs + guardrails.
Review queue
Human-in-the-loop for low confidence or high impact cases.
Alerts & trends
Thresholds, anomaly detection, and daily/weekly reporting.
Use cases
Examples of where expert systems + AI add real value—beyond chatbots.
Classify products/parts, match SKUs, detect duplicates, and normalize messy catalogs.
Guide troubleshooting using symptoms, logs, and rules—recommend next steps and fixes.
Identify shifts in demand, failure patterns, churn drivers, or quality drift with alerts.
Flag out-of-spec records, missing documentation, and risky edge cases automatically.
Route tickets, extract key fields, draft responses, and suggest solutions with confidence scoring.
Dashboards + insights that connect data input to outcomes and ongoing improvements.
Packages
Choose a starting point. We can customize any package based on your data and requirements.
Prototype
- Front-end data input screens
- Back-end API + database
- Rules + basic AI integration
- Simple dashboard/report
Production System
- Role-based access & audit logs
- Decision engine + review queue
- AI guardrails + confidence scoring
- Dashboards, alerts, exports
Enterprise
- Integrations (ERP/CRM/WMS/etc.)
- SLAs, monitoring, observability
- Security reviews & compliance
- Continuous improvement roadmap
Ready to build an expert system that your team can rely on?
Tell us what you need to identify (items, problems, or trends) and we’ll propose a practical build plan.
Contact
Send a brief description of your project. If you already have sample data or a workflow outline, include it.
What you’ll get
- A recommended architecture and tech stack
- Build phases with timeline ranges
- Integration plan for your data sources
- Options for rules, AI, and human review
Secure by default
Role-based access, logging, and safe AI integration patterns.