BUILD
Data engineering & platforms
Create the foundation for reliable reporting and AI. Pipelines, lakehouses, warehouse design, source unification, quality checks, and governance.
Explore data platforms →Insight Sphere Analytics · Data & AI systems
Make your data a growth engine.growth engine.growth engine.profit driver.decision engine.strategic asset.
We turn disconnected systems and unclear metrics into a business operating advantage—through modern data platforms, decision tools, custom workflows, and practical AI.
Built for growing teams that need enterprise-grade insight without enterprise-sized overhead.
Clean foundationsData you can rely on
Shared metricsOne view of performance
Useful automationAction from insight
AI that fitsBuilt for your reality
One partner across the data-to-decision lifecycle
Confidence from the first conversation
Clear scopeKnow what the engagement includes
Visible progressReview the work as it develops
Thoughtful accessPlan how your data is handled
Practical handoverEquip your team to use the solution
What we do
Business outcomes first.
Technology in service of them.
Pick the problem to solve. We bring the data, engineering, analytics, and operational experience to make the solution work end to end.
Explore by need
MODERNIZE
Data migration & modernization
Plan and execute moves from local or legacy environments to Azure, Microsoft Fabric, AWS, and modern analytics platforms.
Explore migration →SEE CLEARLY
Business intelligence & analytics
Build trusted KPI models, executive command centers, operational scorecards, and self-service reporting teams can act on.
Explore decision systems →CONNECT
RevOps, CRM & attribution
Connect lead sources, marketing, sales, and finance. Make funnel performance visible and automate the work around it.
Explore revenue operations →ACTIVATE
AI readiness & intelligent automation
Find high-value use cases, clean up the data and workflows they depend on, and introduce AI with practical controls.
Explore AI solutions →EXTEND
Talent, staffing & enablement
Add skilled data and analytics capacity through project staffing or temporary-to-permanent placements; train your team or extend it with managed support.
Explore team support →Data-to-decision systems
One joined-up engagement. Built around your business.
We connect the work across layers so pipelines, metrics, dashboards, and AI workflows reinforce one another instead of becoming a new set of silos.
Data sources & ingestionLakehouse / warehouseMetric models & governancePower BI & decision toolsCRM and workflow activationAutomation & AI readiness
Productized delivery
Clear starting points.
Defined scope. Measurable progress.
Our offers are designed for growing teams: fixed-scope work that creates useful momentum, with a path to ongoing support when you need it.
Data Foundation Sprint
Get a prioritized architecture and delivery plan, then build the first dependable data foundation.
- Current-state and source assessment
- Target architecture and migration plan
- Initial pipeline and quality controls
- Clear next-phase backlog
Growth Command Center
Bring marketing, lead flow, sales, and cash performance into one useful operating view.
- Funnel and attribution definitions
- Connected CRM and dialer data
- Executive and team scorecards
- Action triggers for missed targets
AI Readiness & Automation
Identify the right AI and automation opportunities, prepare the data, and pilot a focused workflow.
- Readiness and use-case assessment
- Workflow design and guardrails
- Focused proof of value
- Scale, stop, or refine recommendation
How we work
Make progress without losing the plot.
Our delivery path stays grounded in what the business needs to improve. Each phase has a decision, a deliverable, and a clear owner.
Plan a first conversation ↗PHASE 01
Discover the business question
Clarify the decisions, bottlenecks, systems, data owners, and success measures that matter.
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PHASE 02
Design a right-sized solution
Map the data flow, target architecture, access model, scope, timeline, and team needed to deliver.
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PHASE 03
Build and validate with users
Develop pipelines, models, dashboards, and workflows in short reviewable increments.
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PHASE 04
Adopt, measure, improve
Train the team, monitor whether the change helps, and extend what proves useful.
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A partnership you can understand
Clarity at every stage.
Confidence in the next step.
A technology project should make your business easier to run. Start with a clear plan for the work, the people involved, and the way decisions will be made.
Agree on what success means
Define the business goal, deliverables, assumptions, dependencies, and acceptance criteria in the proposal. Discuss scope changes before adding work.
Keep the work visible
Set a review cadence, identify the people responsible for decisions, and use working demonstrations to surface feedback before final handover.
Plan access with care
Discuss which systems and information are needed, who can access them, and what confidentiality, retention, and access-removal arrangements the engagement requires.
Make adoption part of delivery
Include documentation, training, validation, and a support plan in the agreed scope. Clarify ownership, licensing, and ongoing responsibilities before sign-off.
Your first conversation should leave you with clarity.
Bring one business challenge. We’ll discuss the current situation, what a sensible first phase could cover, and what information is needed to scope it.
Questions worth asking before you start
Do we have to replace all of our existing systems?
The starting point is your current stack and business requirements. A first phase can focus on connecting existing systems or solving one reporting problem; replacement should have a clear business reason.
How are scope, fees, and timelines established?
They should be set out in a written proposal after discovery. Source complexity, data quality, integrations, client availability, and security requirements all affect the plan. Confirm milestones, payment terms, and change approval before work begins.
What should we discuss about data and AI?
Start with the data involved, access permissions, approved hosting locations, and any external model providers. Confirm whether sensitive information may be used, what human review is needed, and which requirements must be met before a pilot or deployment.
What happens after delivery?
Agree on the handover materials, training, support period, and responsibility for monitoring and maintenance. Project deliverables, third-party licenses, and subscription services can have different ownership and support terms; clarify each in the agreement.
Where we help
For teams where complexity is getting expensive.
We work best with growing businesses that have outgrown spreadsheets and disconnected tools, but need a practical investment path—not a long enterprise transformation.
See if we’re a fit ↗
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Supply Chain & Logistics
Inventory visibility, demand planning, shipment tracking, and delivery performance analytics.
📍Multi-location operations
Consistent metrics across locations, teams, and operating systems.
🛒Commerce & consumer brands
Acquisition, attribution, customer trends, and operating dashboards.
💼Professional services
Pipeline, capacity, client economics, and finance reporting.
🏥Healthcare operations
Connected operating data and reporting with thoughtful access controls.
🏦Financial services
Cleaner reporting pipelines and more trusted business measures.
↗Don’t see your industry?
Tell us about your business. Let’s explore how connected data, analytics, and automation can help.
DXTR AI · FROM IMAGINATION TO EXECUTION
Imagine it. Plan it. Put it to work.
A specialized AI department at your fingertips—from planning to execution. Your imagination sets the direction. Dxtr AI helps turn a business idea, challenge, or ambitious “what if” into a practical plan, useful deliverables, and connected workflows. Think beyond a chatbot: shape the support around what your company needs to accomplish.
- Plan with purpose. Research opportunities, compare options, map processes, and break goals into actionable steps.
- Create and execute. Prepare reports, proposals, content, code, and internal tools; coordinate tasks and run approved automations through connected systems.
- Connect and improve. Bring business knowledge into the work, monitor changes, surface exceptions, and refine recurring workflows.
- Build around your imagination. Start with “Could we…?” Together, we scope the data, tools, permissions, and specialist workflows needed to explore it.
YOUR GOAL · YOUR SPECIALIZED AI DEPARTMENTEXAMPLE WORKFLOWS
Sales & revenue operationsPipeline summaries, lead context, and follow-up preparation.
Finance & business intelligenceKPI questions, recurring reports, and variance explanations.
Operations & supply chainException monitoring, inventory questions, and workflow coordination.
Marketing & researchCampaign summaries, market research, and content drafts.
Customer & team supportKnowledge lookup, response drafts, and onboarding guidance.
Executive & administrative supportDaily briefings, meeting preparation, reminders, and task coordination.
Technology & internal toolsCode assistance, prototypes, integration planning, and approved workflow automation.
Projects & process improvementTurn goals into plans, coordinate milestones, document processes, and track next steps.
And more—ask us.Don’t see your use case? Tell us what you imagine. Let’s explore how Dxtr AI can help.
Imagination opens the possibilities; responsible implementation makes them useful. Dxtr AI is configured for lawful, authorized business use. Delivery depends on technical feasibility, connected systems, data quality, security, permissions, and agreed scope—not unlimited or guaranteed autonomy. External actions and sensitive workflows require appropriate human approval. Examples above are not a live customer workspace.
Technology alignment
We fit the tools to the business.
Build on what you already have. Connect the right cloud, data, analytics, and AI tools around the business outcome—not around a single vendor. We assess the options, integration needs, and operating costs before recommending a stack.
Discuss your stack ↗CloudAWSStorage · compute · data services
CloudMicrosoft AzureCloud infrastructure · integration
CloudGoogle CloudCloud platforms · BigQuery
Data platformMicrosoft Fabric & OneLakeLakehouse · integrated analytics
Data platformSnowflake & DatabricksWarehouse · lakehouse options
DatabasesSQL ServerRelational data · reporting
DatabasesPostgreSQL & MySQLOperational data · integrations
AnalyticsPower BIDashboards · governed metrics
AnalyticsTableau & LookerVisualization · self-service BI
EngineeringPython & PySparkData processing · automation
EngineeringSQL & data pipelinesTransformations · quality checks
Orchestrationdbt & AirflowTransformation · scheduled workflows
Business systemsCRM, ERP & dialersSales · finance · operations
IntegrationAPIs & webhooksConnect systems · trigger workflows
AI & knowledgeLLMs, RAG & vector searchBusiness context · retrieval
DeliveryDocker & GitPackaging · versioned delivery
CollaborationMicrosoft 365 & Google WorkspaceDocuments · team workflows
AutomationWorkflow & AI assistantsTasks · monitoring · approved actions
Technology options shown are evaluated for fit, not a promise of out-of-the-box support for every product. Integration scope and availability are confirmed during discovery. No vendor certification, partnership, or reseller relationship is implied.
Free planning tools
Get a useful first signal.
Try two lightweight tools to make the opportunity more concrete. Estimates use your inputs; they are starting points for discussion, not promises.
01 · Reporting economics
What is manual reporting costing?
Estimate annual staff time spent assembling recurring reports and explore a conservative time-recovery scenario.
25%
$28,080 estimated annual reporting labor cost
Potential annual capacity value at 25% recovered$7,020
Potential annual capacity value at 25% recovered$7,020
Planning estimate: hours × hourly cost × 52 weeks. Actual savings depend on workflow design and adoption.
02 · AI & data readiness
How ready is your data to support AI?
Answer five quick questions. You’ll get a practical starting point based on the foundations you have today.
1. Are key business metrics defined consistently?
2. Is important data accessible in one governed place?
3. Do recurring reports refresh without manual stitching?
4. Are data access and quality responsibilities clear?
5. Has a business use case been prioritized for AI?
Let's build what comes next
Tell us what is slowing your team down.
Share the business challenge. We’ll help you turn it into a focused first step—whether that is a data foundation, operating dashboard, automation sprint, or AI readiness review.
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Business-first discovery
We start with what you need to improve.
We start with what you need to improve.
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Defined next steps
A practical path, clear scope, and measurable outcome.
A practical path, clear scope, and measurable outcome.
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South Florida based, delivery-ready
Supporting growing teams across the United States.
Supporting growing teams across the United States.
Start with your priorities
A useful first conversation
Share the short version of your challenge in our guided strategy assessment.
- The business decision or workflow you want to improve
- The systems your team uses today
- Your timing, constraints, and key stakeholders
For an initial inquiry, a high-level description is enough. Please leave passwords, customer records, and confidential documents out of the form.