Mastech Digital

Connects, governs, and modernizes enterprise data so people and AI can use trusted knowledge to make decisions and act.

Grounds AI in enterprise knowledge and supports governed, production-ready solutions with measurable business impact.

Helps enterprises modernize cloud and data platforms, embed governance, and deploy industry-grounded AI with reusable assets and repeatable approaches.

Provides specialized talent and flexible teams to build capability quickly and keep critical initiatives on track.

Helps teams get grounded, cited answers and use governed natural-language analytics over enterprise knowledge.

Helps retailers bring intelligence and relevant knowledge into store operations and associates’ hands.

Helps customers shop through familiar apps and helps retailers become confident choices for AI shopping assistants.

Reduces prior authorization friction, speeds routine decisions, and supports transparent human review of complex cases.

Provides personalized clinical guidance and care follow-through to support patient care without adding to clinician workload.

Detects operational patterns and recommends actions to support predictive maintenance, reduce micro-stops, and strengthen manufacturing performance.

Helps providers optimize capacity, reduce administrative burden and burnout, and return more clinician time to patient care.

Helps healthcare organizations close care gaps, improve quality, and align payer-provider incentives through predictive, knowledge-graph-enabled insights.

Detects suspicious transaction activity in real time and helps limit potential losses by flagging anomalies and freezing accounts.

Helps financial institutions monitor evolving regulations, identify potential violations, and produce audit-ready reports with less manual oversight and regulatory risk.

Helps financial institutions make faster, more consistent, and lower-bias loan decisions using governed customer data and multiple credit signals.

Automates KYC tasks to help financial institutions onboard customers faster with less manual effort and regulatory rigor.

Detects failures early, extends asset life, reduces defects, and prevents unplanned downtime to help keep production running.

Keeps shipments visible from dispatch to doorstep while helping logistics networks adapt to changing demand and disruption.

Simulates production scenarios, optimizes operations, and tests changes virtually before factory-floor implementation.

Detects production defects in real time at their source, helping manufacturers identify quality issues during production.

Modern Data & Analytics

Mastech Digital transforms fragmented enterprise data into a modern, governed foundation for people and AI. Services include migration of legacy warehouses, lakehouses, and ETL environments to cloud-native platforms; semantic, taxonomy, ontology, and metadata layers; master data management and governance; data monetization; and platform operations.

Category: Data and Analytics Consulting

• Modernize Legacy Data Estates
  Move legacy data warehouses, lakehouses, and ETL environments to cloud-native platforms using AI-led automation.
• Make Data Meaningful For Agents
  Give data business context through semantic and metadata layers so agents can understand what information means.
• Establish A Trusted Source Of Truth
  Create golden records and establish stewardship, lineage, and access control for consistent, governed data.
• Automate Data Quality And Operations
  Automate observability, cost control, and quality monitoring to sustain a trustworthy data foundation.
• Scale Workloads With Cost Control
  Use DataOps, FinOps, AI-ready landing zones, and monitoring to scale workloads while maintaining performance and cost control.
• Turn Governed Data Into Value
  Use trusted, connected data to support internal decisions, external data products, and secure data-sharing marketplaces.

Enterprise AI Services

Mastech helps enterprises apply proprietary knowledge to AI, from pilots and proofs of concept to production-grade solutions. Services include AI readiness assessment and strategy, enterprise agentic architecture, custom agentic and generative AI applications, and applied data science. Governance, observability, and value tracking support accountable deployment at scale.

Category: AI Development Services

• Ground Agents In Enterprise Knowledge
  Structure enterprise context and industry knowledge so agents can use business meaning, relationships, and expertise.
• Deploy Governed Agentic Workflows
  Provide architecture for agents to work across tools and processes with security controls, guardrails, and production monitoring.
• Automate Workflows With Custom AI
  Apply AI to business problems through role-specific applications and process agents while keeping people involved in workflows.
• Scale AI With Production Foundations
  Support AI deployment and growth with modular infrastructure, operational practices, observability, governance, and cost visibility.
• Enforce AI Policies Across Workflows
  Build policy enforcement, risk controls, and auditability into AI delivery to support accountable scale.
• Identify Proven AI Opportunities
  Focus AI initiatives on industry workflows and regulatory realities, with reusable accelerators as a practical starting point.
• Build Trustworthy Predictive Models
  Support predictive and prescriptive use cases with explainability and detection of bias, model drift, and hallucinations.
• Track Measurable AI Business Value
  Link AI initiatives to specified business outcomes and track value from proof of concept to production.
• Plan Practical AI Roadmaps
  Connect readiness, strategy, operating models, and implementation-grounded roadmaps to enterprise AI maturity and objectives.

Cloud, Data & AI Platforms

Mastech Digital provides platform expertise and engineering services across cloud, data, and AI ecosystems. Its platform-agnostic approach combines embedded governance, reusable assets, AI-native modernization, and industry-specific blueprints. Services span Snowflake, Databricks, Informatica, Microsoft Fabric, Google Cloud, AWS, and Claude, supporting enterprise data architectures, migrations, analytics, and governed AI deployments.

• Modernize Legacy Platforms Faster
  Use AI-led reverse engineering and regeneration to migrate legacy warehouses, ETL estates, and logic to modern platforms.
• Keep Agents Within Enterprise Boundaries
  Embed governance into data and agent contexts to help enforce enterprise access policies, data-quality rules, and lineage requirements.
• Reuse Proven Assets Across Engagements
  Reusable skills, agent assets, and migration accelerators provide repeatable starting points for engagements.
• Deploy Across Leading Enterprise Platforms
  Apply engineering expertise across cloud, data, and AI ecosystems to support enterprise transformation on suitable platforms.
• Deploy Governed Agents At Cloud Scale
  Connect agents to governed data and support AI deployments across cloud environments.
• Apply Industry Context From Day One
  Use pre-built domain models and industry blueprints as a starting point for solutions grounded in specific business use cases.
• Unify Data Across Enterprise Systems
  Connect data architectures so teams can work with consistent information across enterprise systems and platform workloads.
• Scale Workloads With Cost Control
  Use operations practices, landing zones, and monitoring to support workloads as they grow while keeping costs observable and controlled.

Talent Solutions

Mastech Digital provides professionals for essential IT roles and specialized data and AI work, from individual specialists to integrated teams. Industry-aware recruiting, technical expertise, a global talent pipeline, and multi-layer vetting help identify people suited to each assignment. Engagement options include on-premise talent, remote staff augmentation, and offshore delivery pods, supported by account and delivery leadership, candidate care, compliance, and work-authorization support.

• Find Professionals Who Fit The Work
  Combine industry insight and technical expertise to match professionals to role requirements, teams, and business goals.
• Access In-Demand Technical Expertise
  Access hands-on professionals across modern data platforms, cloud ecosystems, AI environments, and core IT roles.
• Scale Talent To Match Your Needs
  Choose embedded on-premise support, remote staff augmentation, or scalable offshore teams to fit operating and scaling needs.
• Vet Skills, Experience, And Fit
  Evaluate candidates in the context of the work to support selection of professionals prepared to contribute.
• Combine Global Reach With Responsive Delivery
  Experience across four regions supports responsive engagements aligned with customer goals.
• Maintain A Single Point Of Responsibility
  Dedicated account and delivery leadership support clear accountability throughout the engagement.
• Support Talent Engagements With Governance
  Apply governance and technical expertise across stages of data and AI work.
• Support Candidates Throughout Assignments
  Provide candidate engagement and support for compliance and work authorization throughout assignments.

MARQIE

MARQIE (Mastech AI Reasoning & Query Intelligence Engine) provides governed natural-language analytics over an enterprise knowledge fabric. It delivers grounded, cited answers and supports a shared version of meaning for teams and AI.

• Query Enterprise Knowledge In Natural Language
  Explore enterprise knowledge through natural-language analytics while working within governance controls.
• Get Grounded Answers With Citations
  Ground answers in the enterprise knowledge fabric and include citations that make supporting information visible.
• Explore The Reasons Behind Enterprise Data
  Extend enterprise queries toward reasoning over the knowledge fabric, including questions about why as well as what.
• Align Teams And AI On Meaning
  Provide shared meaning across teams and AI for consistent use of the enterprise knowledge fabric.

STOURI

STOURI (Store Transformation: Unifying Retail and Intelligence) brings retail intelligence into store operations. It provides task and labor intelligence, shelf and planogram awareness, and copilots that put knowledge in associates’ hands.

• Put Knowledge In Associates’ Hands
  Put knowledge in store associates’ hands, bringing relevant information into store operations.
• Support Store Tasks
  Give retailers task intelligence to support store operations.
• Inform Labor Operations
  Give retailers labor intelligence to support store operations.
• Monitor Shelf Conditions
  Provide shelf awareness to help retailers bring intelligence into store operations.
• Support Planogram Awareness
  Provide planogram awareness to help retailers bring intelligence into store operations.

SparkCart

SparkCart is an AI-powered personal shopper that lives in customers’ favorite apps. It also bridges retailers to agentic commerce, helping AI assistants confidently choose them when shopping on customers’ behalf.

• Help AI Assistants Choose Your Retail Brand
  Help retailers participate in agentic commerce by making them brands that AI shopping assistants can confidently choose.
• Shop Within Familiar Apps
  Give customers access to an AI-powered personal shopper in their favorite apps.

Agentic prior authorization

An agentic prior authorization solution for healthcare payers and providers. It coordinates specialized AI agents to retrieve clinical evidence, interpret medical policies, reason about medical necessity, and manage payer communications. It automates routine cases and prepares complex cases for human review, with audit trails and human oversight built into the workflow.

• Coordinate Specialized Authorization Tasks
  Break the prior authorization process into specialized tasks handled by coordinated agents rather than a rigid, serial workflow.
• Apply Policy And Clinical Reasoning
  Support authorization decisions by interpreting payer policy and applying clinical logic.
• Accelerate Routine Cases And Prepare Complex Ones
  Automate routine processing while preparing supporting information for human review of complex cases.
• Keep Decisions Auditable And Human-Reviewed
  Record agent decisions and retain human review for denials, low-confidence predictions, and complex cases.
• Retrieve And Synthesize Clinical Evidence
  Bring together patient context and supporting evidence from multiple sources for authorization workflows.
• Draft Evidence-Backed Authorization Documents
  Prepare clinical letters and payer-specific authorization materials from supporting evidence for clinician review and sign-off.
• Submit Requests And Track Authorization Status
  Manage submissions through APIs or EDI and track request status.
• Validate Requests And Trigger Workflows
  Check request completeness at intake and start relevant workflows to address incomplete submissions.
• Learn From Outcomes And Improve Yield
  Use authorization outcomes to inform ongoing workflow and results optimization.

Personalized clinical decision support

An AI-driven, longitudinal clinical decision support layer using live signals from EHRs, devices, labs, and patient-reported inputs to match individuals with evidence-based care pathways tailored to their conditions, social determinants, and preferences. It embeds guidance in clinical workflows, surfaces next-best actions, and supports pathway execution, prior authorization, patient wellness, and closed-loop follow-up. Clinicians retain judgment, sign-off, and exception handling.

• Tailor Pathways To Individual Patient Context
  Match care guidance to individual characteristics, including comorbidities, lifestyle, social determinants, genetics, and preferences.
• Trigger Care Pathways From Live Signals
  Use current patient information to advance care pathways when criteria are met, supporting proactive intervention.
• Surface Evidence-Based Next Steps In The EHR
  Present pathway guidance and clinical actions in the flow of care, including dosing information, evidence, tests, and orders.
• Advance Pathways And Route Exceptions
  Automate pathway progression and route exceptions to clinicians, while making pathway measures trackable.
• Track Care Tasks To Verified Completion
  Follow actions beyond the initial recommendation and escalate missed checkpoints to help ensure care tasks are completed.
• Draft And Route Prior Authorizations
  Prepare evidence-backed authorization materials from patient records and manage submission paperwork and status tracking, retaining clinician review.
• Personalize Engagement Between Visits
  Extend care beyond appointments with tailored nudges, wellness tracking, remote monitoring, and outreach.
• Personalize Testing And Screening Cadence
  Support test selection and timing based on patient information, and connect results to pathways for follow-up.
• Audit Pathways And Measure Outcomes
  Make pathways, overrides, and outcomes auditable and measure adoption, variation, clinical indicators, and operational results.
• Retrieve Grounded Pathway Guidance In Plain Language
  Let clinicians ask plain-language questions and access guidance grounded in the evidence used for automated actions.

OEE for MedTech & Devices

An agentic monitoring solution for MedTech and device manufacturing. It detects real-time patterns and recommends actions to support predictive maintenance, reduce micro-stops, and strengthen manufacturing performance. It transforms device and patient data into connected intelligence that supports predictive quality and stronger post-market signals.

• Detect Operational Patterns In Real Time
  Identify patterns in device and manufacturing operations to help teams spot signals that may require action.
• Support Predictive Equipment Maintenance
  Use operational patterns and recommended actions to support predictive maintenance.
• Recommend Actions For Manufacturing Operations
  Provide recommended actions in response to detected patterns to support predictive maintenance and performance.
• Reduce Manufacturing Micro-Stops
  Support fewer micro-stops as part of improving manufacturing performance.
• Strengthen Manufacturing Performance
  Use detected patterns and recommended actions to support stronger manufacturing performance.
• Connect Device And Patient Data
  Turn device and patient data into connected intelligence for MedTech and device operations.
• Support Predictive Quality
  Use connected intelligence from device and patient data to support predictive quality.
• Strengthen Post-Market Signals
  Transform device and patient data into connected intelligence that supports stronger post-market signals.

Provider Workforce Enablement

Provider Workforce Enablement combines intelligent scheduling, connected decision support, and capacity intelligence to help healthcare organizations optimize capacity, reduce clinician burnout, and support timely care. Drawing on EHR data, care pathways, and team knowledge, it can sequence ambient documentation, predictive workforce intelligence, and process automation to reduce administrative workload while keeping clinical judgment and review with clinicians.

• Align Staffing With Care Demand
  Support staffing decisions that match provider capacity to anticipated demand and help teams plan coverage.
• Return More Clinician Time To Care
  Shift routine encounter documentation away from manual EHR entry while clinicians retain responsibility for review, editing, and signing.
• Anticipate Shift-Level Staffing Demand
  Help staffing managers plan for expected demand and position available staff ahead of shifts.
• Surface Context-Aware Guidance In Care
  Bring relevant patient context and pathway guidance into clinical workflows to support care decisions.
• Automate Repetitive Structured Tasks
  Reduce repetitive administrative work so clinical and operational teams can focus on decisions requiring human judgment.
• Keep Clinicians In Control
  Preserve clinician review and accountability with editable outputs, auditable decisions, and model monitoring.
• Measure Capacity Program Outcomes
  Track clinician time returned, after-hours EHR work, staffing expenses, turnover trends, and patient-facing quality indicators.

Agentic Value-Based Care Intelligence

A predictive, knowledge-graph-enabled value-based care solution designed to close care gaps, improve care quality, and align payer-provider incentives around measurable outcomes. Its reference architecture combines a FHIR-native Patient 360 data foundation spanning claims, clinical, pharmacy, laboratory, and social-determinant data with specialized care agents and end-to-end governance.

• Identify And Close Care Gaps
  Help healthcare organizations identify care gaps and support proactive action to close them.
• Align Incentives Around Outcomes
  Support payer-provider coordination around measurable outcomes rather than disconnected incentives.
• Anticipate Care Needs
  Provide predictive insight to support decisions intended to improve care quality and value-based outcomes.
• Unify Patient Data
  Connect multiple healthcare data types in a longitudinal patient view to provide context for analytics and care-agent decisions.
• Connect Healthcare Data
  Bring heterogeneous healthcare data into the VBC foundation for analytics and agent workflows.
• Orchestrate Care Agents
  Coordinate specialized agents that use the shared data foundation to support care workflows and decisions.
• Measure Care And Financial Outcomes
  Connect the architecture to measurable clinical and financial outcomes used in value-based care programs.
• Govern And Audit Agent Decisions
  Apply governance controls to agent access and record lineage and decision traces for audit and review.

Fraud Detection and Prevention

An AI-powered financial services solution in which agents monitor transactions in real time, flag anomalies, and freeze accounts before damage spreads. Grounded in a shared knowledge fabric, agents learn from new patterns to improve fraud detection.

• Monitor Transactions In Real Time
  Continuously monitor transactions so potential fraud can be identified as it occurs.
• Flag Suspicious Transaction Anomalies
  Surface anomalous transaction activity to help financial institutions identify potential fraud.
• Freeze Accounts Before Damage Spreads
  Freeze accounts to help limit the potential impact of detected fraud.
• Learn From Emerging Fraud Patterns
  Use new patterns to improve detection over time, with agents grounded in a shared knowledge fabric.

Regulatory compliance

An agent-based regulatory compliance solution for financial institutions. It monitors transactions against evolving regulations, flags potential violations, and automatically generates audit-ready reports to reduce manual oversight and regulatory risk.

• Monitor Transactions Against Evolving Regulations
  Monitor transactions against evolving regulations to help institutions track changing requirements.
• Flag Potential Regulatory Violations
  Flag potential violations found while monitoring transactions for compliance team attention.
• Generate Audit-Ready Reports Automatically
  Automatically generate audit-ready reports to reduce manual oversight and help manage regulatory risk.

Autonomous Credit Risk Assessment

An AI-enabled solution that assesses creditworthiness at scale by analyzing financial history, spending behavior, and market signals. Anchored in governed customer data, it supports faster, more consistent loan decisions with reduced bias.

• Assess Creditworthiness At Scale
  Combine financial history, spending behavior, and market signals to assess creditworthiness at scale.
• Ground Assessments In Governed Data
  Use governed customer data as the foundation for credit assessments and lending decisions.
• Accelerate Loan Decisions
  Support faster loan decisions through creditworthiness assessment at scale.
• Standardize Loan Decisions
  Support consistent lending decisions by analyzing financial history, spending behavior, and market signals using governed data.
• Reduce Bias In Credit Decisions
  Help reduce bias in credit decisions as part of assessing creditworthiness and supporting loan decisions.

KYC and customer onboarding

Intelligent agents automate identity verification, document processing, and compliance checks end-to-end. Drawing on a connected knowledge foundation, the solution supports faster KYC onboarding with less manual effort. Related KYC capabilities include AI-powered identity and document intelligence, customer data unification, continuous risk monitoring, and explainable decisions with human oversight.

• Automate Compliance Checks
  Automate onboarding compliance checks to reduce manual effort while maintaining regulatory rigor.
• Verify Customer Identities
  Automate identity verification during onboarding, including biometric and liveness checks.
• Process Onboarding Documents
  Reduce manual document handling with automated processing, OCR, and contextual validation.
• Monitor Customer Risk
  Track behavioral signals and update risk assessments over time rather than relying only on point-in-time reviews.
• Explain And Audit Decisions
  Record the rationale behind AI-driven flags and escalations to support interpretation and compliance audits.
• Unify Customer Records
  Combine fragmented records into a single customer view to support due diligence and reduce duplicate information.
• Screen Media And Watchlists
  Surface potential warning signs from news, global data sources, and watchlists, with explanations for generated alerts.
• Route Cases For Review
  Direct high-risk profiles and cases to human investigators for oversight and informed decisions.
• Improve Models With Feedback
  Use analyst feedback and regulatory outcomes to adapt models to changing regulations, data sources, and typologies.

Predictive Maintenance and Asset Intelligence

A manufacturing solution that combines sensor data, machine learning, and asset history to build predictive models that identify failures before they happen. By connecting machine, sensor, and enterprise data, it helps extend asset life, reduce unplanned downtime and defects, and support continuous data-driven optimization.

• Detect Failures Early
  Identify potential equipment failures before they occur, giving teams an opportunity to respond and keep production running.
• Unify Operational Data
  Bring machine, sensor, enterprise, and asset-history data together so predictive models can use connected operational information.
• Prevent Unplanned Downtime
  Use early failure detection to help prevent unexpected production interruptions.
• Extend Asset Life
  Catch potential equipment failures early to support asset longevity.
• Reduce Production Defects
  Use connected operational data and predictive models to help reduce manufacturing defects.
• Optimize Production Continuously
  Apply ongoing, data-driven optimization to support production performance.

Logistics last-mile visibility

An AI-powered logistics solution that uses real-time location and demand data for shipment tracking and dynamic routing. It supports a self-adjusting network that responds to disruption in real time, keeping shipments visible from dispatch to doorstep.

• Track Every Shipment In Real Time
  Give logistics teams visibility into shipments from dispatch to doorstep using real-time location data.
• Adapt Routes To Changing Conditions
  Use dynamic routing and real-time data to support decisions as demand and operating conditions change.
• Respond To Disruption In Real Time
  Enable the logistics network to adjust to disruption in real time and help keep products moving.
• Anticipate Shifts In Demand
  Help logistics operations forecast demand changes using supply chain and demand data.

Digital twin for factory simulation

A data-driven digital twin models and simulates production scenarios in real time, helping manufacturers optimize scenarios and test changes virtually before making a move on the factory floor.

• Simulate Production Scenarios In Real Time
  Model and simulate production scenarios in real time to help teams evaluate factory operations.
• Test Changes Virtually Before Implementation
  Evaluate proposed changes virtually before committing to a factory-floor move.
• Optimize Production Scenarios
  Use the digital twin to optimize production scenarios before implementing factory-floor changes.

AI-assisted quality control

AI-assisted quality control uses computer vision and machine learning models to analyze production data in real time and detect defects at the source.

• Detect Defects At The Source
  Analyze production data in real time to identify defects at their source.