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Solution systems / 01—03

Operational intelligence you can inspect.

Each solution begins with a decision, not a model. These studies expose the inputs, evidence, failure modes, and production system surrounding the intelligence.

Public studies are precomputed on open data. Client feasibility is tested privately on representative inputs.

Solution catalog / 28

Start with the outcome. Find the system.

Search by problem, browse a family, or use the guided finder. Every solution is custom-scoped against representative data and real operating constraints.

What needs to change?

28solutions
01 / Software and cloud engineering

Custom business applications

Design and ship software around the exact operational workflow, roles, approvals, data, and integrations a standard product cannot fit.

Enterprise teamsProfessional servicesProduct engineeringAzure
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01 / Software and cloud engineering

Internal tools and operations portals

Build fast, clear control surfaces for teams managing cases, assets, workflows, exceptions, and operational data.

Enterprise teamsSoftware / SaaSProduct engineeringAzure
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01 / Software and cloud engineering

Real-time dashboards and control systems

Turn live operational events into stable monitoring, command, alert, and intervention interfaces with clear failure behavior.

ManufacturingLogisticsProduct engineeringDistributed systems
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01 / Software and cloud engineering

Azure architecture and reliability

Design cloud systems around availability, scaling, isolation, observability, recovery, and controlled operating cost.

Software / SaaSEnterprise teamsAzureDistributed systems
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01 / Software and cloud engineering

Distributed backends, APIs, and integrations

Build high-volume services, event-driven workflows, APIs, and dependable integrations across operational systems.

Software / SaaSEnterprise teamsDistributed systemsAzure
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01 / Software and cloud engineering

SaaS and web product engineering

Design and ship complete browser products with thoughtful workflows, backend systems, integrations, and production delivery.

Software / SaaSEnterprise teamsProduct engineeringAzure
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01 / Software and cloud engineering

Custom mobile applications

Build native or cross-platform customer, field, and workforce applications around device, offline, notification, and distribution realities.

Software / SaaSEnterprise teamsProduct engineeringAzure
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01 / Software and cloud engineering

Desktop and engineering applications

Build performance-sensitive desktop tools for complex data, native integration, offline operation, visualization, or specialist workflows.

Software / SaaSEnterprise teamsProduct engineeringDistributed systems
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02 / AI products and features

AI-native product development

Design and ship a product whose core workflow depends on models, tools, data, and accountable user decisions.

Software / SaaSEnterprise teamsLLMAgents
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02 / AI products and features

Embedded copilots and intelligent search

Put grounded assistance inside the product context where users already inspect, decide, and act.

Software / SaaSProfessional servicesLLMRAG
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02 / AI products and features

Voice and conversational interfaces

Build transcription, voice assistance, and conversational workflows around real latency, consent, and escalation needs.

Software / SaaSProfessional servicesSpeech AILLM
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02 / AI products and features

AI prototype to production

Turn a promising demo into an evaluated, observable, cost-controlled feature with failure handling and ownership.

Software / SaaSEnterprise teamsLLMMLOps
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03 / Knowledge and automation

Private knowledge and RAG systems

Retrieve and synthesize internal knowledge with citations, permissions, evaluation, and deployment in the right data boundary.

Professional servicesEnterprise teamsRAGLLM
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03 / Knowledge and automation

Agentic workflow automation

Orchestrate tools, decisions, approvals, and recovery across multi-step operational work.

Enterprise teamsProfessional servicesAgentsLLM
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03 / Knowledge and automationInteractive proof

Document intelligence

Classify, extract, validate, match, and route business documents with field-level evidence and human review.

Financial operationsProfessional servicesComputer visionLLM
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03 / Knowledge and automation

Support and service operations automation

Triage, enrich, draft, route, and resolve service work while preserving escalation and quality review.

Software / SaaSRetail / e-commerceLLMAgents
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04 / Vision and edge

Visual quality inspection

Detect, segment, and review defects or assembly conditions on representative production imagery.

ManufacturingLogisticsComputer visionEdge inference
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04 / Vision and edgeInteractive proof

Parking and mobility analytics

Convert vehicle movement into occupancy, flow, queue, dwell, and exception signals for operators.

MobilityRetail / e-commerceComputer visionEdge inference
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04 / Vision and edge

Inventory and asset vision

Count, locate, classify, and flag inventory or equipment states from fixed or mobile imagery.

Retail / e-commerceLogisticsComputer visionEdge inference
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04 / Vision and edge

Custom video analytics and edge inference

Build domain-specific temporal events and deploy them close to cameras when latency, bandwidth, or privacy requires it.

ManufacturingMobilityComputer visionEdge inference
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05 / Prediction and optimizationInteractive proof

Demand and inventory forecasting

Backtest demand ranges and translate them into replenishment, capacity, staffing, or purchasing decisions.

Retail / e-commerceManufacturingForecastingOptimization
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05 / Prediction and optimization

Recommendations and personalization

Rank content, products, or actions around user value, feedback loops, cold start, and controlled experimentation.

Retail / e-commerceSoftware / SaaSForecastingProduct engineering
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05 / Prediction and optimization

Anomaly detection and predictive maintenance

Detect unusual behavior and early-warning patterns in equipment, operations, transactions, or platform telemetry.

ManufacturingLogisticsForecastingMLOps
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05 / Prediction and optimization

Routing, scheduling, and simulation

Model constraints and optimize resource, route, traffic, workforce, or production plans under changing scenarios.

LogisticsMobilityOptimizationForecasting
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06 / Data and ML platforms

Data and ML platform foundations

Create the smallest dependable data, experiment, evaluation, and deployment foundation for current teams and models.

Software / SaaSEnterprise teamsMLOpsAzure
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06 / Data and ML platforms

Production MLOps

Automate model packaging, approval, deployment, rollback, and retraining around explicit quality gates.

Software / SaaSEnterprise teamsMLOpsAzure
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06 / Data and ML platforms

Model evaluation, monitoring, and cost control

Measure quality, regressions, latency, spend, drift, and high-cost failures before and after release.

Software / SaaSEnterprise teamsMLOpsLLM
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06 / Data and ML platforms

Private model deployment

Deploy appropriate pretrained language, vision, or predictive models inside the required client or isolated cloud boundary.

Enterprise teamsProfessional servicesLLMComputer vision
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Need a different system?

Not quite your solution?

Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.