Operating intelligence systems
Your business runs on fragmented reports. We build the intelligence layer that shows what to do next.
Your business runs on fragmented reports. We build the intelligence layer that shows what to do next.
Intelliblitz builds owned BI, reporting automation, workflow automation, and AI-assisted operating intelligence systems for founder-led and mid-market companies.
Intelliblitz builds owned BI, reporting automation, workflow automation, and AI-assisted operating intelligence systems for founder-led and mid-market companies.
Senior data and AI architects. Production systems, not slide decks.
Operating intelligence systems
Your business runs on fragmented reports. We build the intelligence layer that shows what to do next.
Intelliblitz builds owned BI, reporting automation, workflow automation, and AI-assisted operating intelligence systems for founder-led and mid-market companies.
Senior data and AI architects. Production systems, not slide decks.
Most growing companies don't have a data problem.
They have a fragmentation problem — numbers scattered across tools that don't talk, reassembled by hand every week.
Scattered data
Scattered data
Numbers live in a CRM, a finance tool, and a dozen spreadsheets. None of them agree.
Numbers live in a CRM, a finance tool, and a dozen spreadsheets. None of them agree.
Manual reporting
Manual reporting
The same report, rebuilt by hand every Monday. Stale by Wednesday.
The same report, rebuilt by hand every Monday. Stale by Wednesday.
Inconsistent KPIs
Inconsistent KPIs
Three departments, three versions of the same metric.
Three departments, three versions of the same metric.
Automation in pieces
Automation in pieces
A Zap here, a script there. Nothing connected, documented, or owned.
A Zap here, a script there. Nothing connected, documented, or owned.
Ownership
Ownership
Most firms rent you intelligence. We build what you own.
Most firms rent you intelligence. We build what you own.
Most firms rent you intelligence. We build what you own.
Most firms keep your dashboards and models on their cloud and bill you for access. We build in accounts you control and hand everything over — the data model, dashboards, automations, and code. If you never call us again, it keeps working.
Most firms keep your dashboards and models on their cloud and bill you for access. We build in accounts you control and hand everything over — the data model, dashboards, automations, and code. If you never call us again, it keeps working.
Most firms keep your dashboards and models on their cloud and bill you for access. We build in accounts you control and hand everything over — the data model, dashboards, automations, and code. If you never call us again, it keeps working.



What We Build
What We Build
Four layers. One operating intelligence system.
Four layers. One operating intelligence system.
Take one layer or all four — connected to the tools you already use, built in infrastructure you own.
Take one layer or all four — connected to the tools you already use, built in infrastructure you own.
Data Foundation
Pipelines that unify your CRM, finance, and operations data into one governed model. You own the accounts and the code.

Data Foundation
Pipelines that unify your CRM, finance, and operations data into one governed model. You own the accounts and the code.

Data Foundation
Pipelines that unify your CRM, finance, and operations data into one governed model. You own the accounts and the code.

BI & Dashboards
Executive dashboards on an agreed KPI model, connected to live sources. One version of the truth, updated automatically.

BI & Dashboards
Executive dashboards on an agreed KPI model, connected to live sources. One version of the truth, updated automatically.

BI & Dashboards
Executive dashboards on an agreed KPI model, connected to live sources. One version of the truth, updated automatically.

Workflow Automation
Recurring reports, data syncs, and handoffs run on schedule. Exceptions are routed to a person — everything else just runs.

Workflow Automation
Recurring reports, data syncs, and handoffs run on schedule. Exceptions are routed to a person — everything else just runs.

Workflow Automation
Recurring reports, data syncs, and handoffs run on schedule. Exceptions are routed to a person — everything else just runs.

AI-Assisted Operations
Summaries, anomaly flags, and drafts inside your workflows — where AI genuinely helps, with people approving what matters.

AI-Assisted Operations
Summaries, anomaly flags, and drafts inside your workflows — where AI genuinely helps, with people approving what matters.

AI-Assisted Operations
Summaries, anomaly flags, and drafts inside your workflows — where AI genuinely helps, with people approving what matters.

One operating layer.

One Command Layer. Every Decision Sovereign.
Real-time BI, predictive AI, and cloud infrastructure — fused into a single executive command layer. Built for leaders who refuse to make million-dollar decisions off stale data.

One Command Layer. Every Decision Sovereign.
Real-time BI, predictive AI, and cloud infrastructure — fused into a single executive command layer. Built for leaders who refuse to make million-dollar decisions off stale data.


Built Around Your Infrastructure
Branded dashboards. Modular interfaces. Deployed on your cloud — AWS, Azure, or GCP. Configure every layer to match your enterprise DNA without sacrificing power.



Built Around Your Infrastructure
Branded dashboards. Modular interfaces. Deployed on your cloud — AWS, Azure, or GCP. Configure every layer to match your enterprise DNA without sacrificing power.

Engagement model
Engagement model
How an engagement works.
How an engagement works.
Start with an audit. Build in scoped increments. End with your team in control.
Start with an audit. Build in scoped increments. End with your team in control.
Phase 1: Intelligence Audit
We map your data sources, reports, and manual workflows — and hand you a written roadmap of what to build first. Typically 3–5 days.
Phase 2: Command Layer Sprint
We connect your data sources, settle the KPI model, and build the executive dashboard — in increments you review. Typically 2–4 weeks.
Phase 3: Document & hand off
We automate recurring workflows, document everything, and transfer ownership. Your team runs it — with us or without us.
Phase 1: Intelligence Audit
We map your data sources, reports, and manual workflows — and hand you a written roadmap of what to build first. Typically 3–5 days.
Phase 2: Command Layer Sprint
We connect your data sources, settle the KPI model, and build the executive dashboard — in increments you review. Typically 2–4 weeks.
Phase 3: Document & hand off
We automate recurring workflows, document everything, and transfer ownership. Your team runs it — with us or without us.
Security & data control
Security & data control
Built to run in infrastructure you control.
Built to run in infrastructure you control.
Deployed in your cloud and your workspaces, under your access model — role-based access, audit logging, and a documented handoff where credentials transfer to you.
Deployed in your cloud and your workspaces, under your access model — role-based access, audit logging, and a documented handoff where credentials transfer to you.
Example systems
Example systems
How we build — representative reference architectures, not client claims.
How we build — representative reference architectures, not client claims.
Executive Decision Layer
Executive Decision Layer
Unify scattered systems into one governed data layer, with dashboards built for decisions.
Unify scattered systems into one governed data layer, with dashboards built for decisions.
You own the data layer, dashboards, and pipelines.
You own the data layer, dashboards, and pipelines.
Operations Automation Layer
Operations Automation Layer
Automate approvals, handoffs, and escalations, with a human on every exception.
Automate approvals, handoffs, and escalations, with a human on every exception.
You own the pipelines, rules, and config.
You own the pipelines, rules, and config.
Predictive Intelligence Layer
Predictive Intelligence Layer
Private models for forecasting, churn, and anomaly detection, surfaced where leadership looks.
Private models for forecasting, churn, and anomaly detection, surfaced where leadership looks.
You own the models, pipeline, and code.
You own the models, pipeline, and code.
Executive Decision Layer
Unify scattered systems into one governed data layer, with dashboards built for decisions.
You own the data layer, dashboards, and pipelines.
Operations Automation Layer
Automate approvals, handoffs, and escalations, with a human on every exception.
You own the pipelines, rules, and config.
Predictive Intelligence Layer
Private models for forecasting, churn, and anomaly detection, surfaced where leadership looks.
You own the models, pipeline, and code.
Insights
From our Insights

Technology
4 min
AST SpaceMobile Unfolds BlueBird 6: The Largest Commercial Antenna Ever Deployed in Low Earth Orbit
AST SpaceMobile (NASDAQ: ASTS) just hit a milestone that deserves attention well beyond the aerospace community. The company has successfully unfolded its next-generation BlueBird 6 satellite, deploying the largest commercial communications array antenna ever placed in Low Earth Orbit. At approximately 2,400 square feet, this antenna is engineered to deliver peak data speeds up to 120 Mbps and up to ten times the bandwidth capacity of the earlier BlueBird 1–5 series.

Cloud Computing
6 min
Industrial Computer Vision for Defect Detection on AWS: A Practical Reference Architecture
Manufacturing quality teams already know the hard truth: defects don’t announce themselves. They hide in tiny anomalies—hairline cracks, porosity, irregular castings, subtle damage—often visible only in X-ray or high-resolution imaging. Human inspection is expensive, inconsistent at scale, and hard to standardize across shifts, plants, and suppliers. This is where industrial computer vision becomes a practical advantage: consistent inspections, measurable confidence scores, faster root-cause analysis, and a closed loop back to the shop floor. In this post, we’ll break down an AWS reference architecture that detects defects using Amazon Lookout for Vision, Amazon S3, AWS Lambda, and an orchestration layer for batch and real-time inference—then we’ll show how Intelliblitz typically turns this into a production-grade, plant-ready system.

Business
4 min
Why Most BI Dashboards Fail (And What Working Ones Do Differently)
Dashboards rarely fail because of the tool. They fail because they were built as decoration — no agreed definitions, no pipeline underneath, no owner. Here's what working dashboards do differently.

Technology
4 min
AST SpaceMobile Unfolds BlueBird 6: The Largest Commercial Antenna Ever Deployed in Low Earth Orbit
AST SpaceMobile (NASDAQ: ASTS) just hit a milestone that deserves attention well beyond the aerospace community. The company has successfully unfolded its next-generation BlueBird 6 satellite, deploying the largest commercial communications array antenna ever placed in Low Earth Orbit. At approximately 2,400 square feet, this antenna is engineered to deliver peak data speeds up to 120 Mbps and up to ten times the bandwidth capacity of the earlier BlueBird 1–5 series.

Cloud Computing
6 min
Industrial Computer Vision for Defect Detection on AWS: A Practical Reference Architecture
Manufacturing quality teams already know the hard truth: defects don’t announce themselves. They hide in tiny anomalies—hairline cracks, porosity, irregular castings, subtle damage—often visible only in X-ray or high-resolution imaging. Human inspection is expensive, inconsistent at scale, and hard to standardize across shifts, plants, and suppliers. This is where industrial computer vision becomes a practical advantage: consistent inspections, measurable confidence scores, faster root-cause analysis, and a closed loop back to the shop floor. In this post, we’ll break down an AWS reference architecture that detects defects using Amazon Lookout for Vision, Amazon S3, AWS Lambda, and an orchestration layer for batch and real-time inference—then we’ll show how Intelliblitz typically turns this into a production-grade, plant-ready system.

Business
4 min
Why Most BI Dashboards Fail (And What Working Ones Do Differently)
Dashboards rarely fail because of the tool. They fail because they were built as decoration — no agreed definitions, no pipeline underneath, no owner. Here's what working dashboards do differently.

BI Dashboards
5 min
The Point Where Companies Outgrow Spreadsheet Reporting
Spreadsheets are the right reporting tool until a company crosses a few observable thresholds: too many data sources, reports rebuilt by hand, one person holding the numbers together. Here is how to recognize that point — and what replacing it actually involves.
Before You Engage
Common questions.
Common questions.
Straight answers.
