The algorithm isn't the problem. In thirty years we've watched AI projects fail for exactly two reasons — and neither one is the math.
Disconnected systems. No standards. Sensor data that's never been validated. Shift logs that live in spreadsheets. Lab results that don't join to process data. The algorithm runs — it just runs on garbage.
TSAI solves this — organizing, integrating, and contextualizing your operational data so AI actually works.
The model works. The dashboard looks great. But no operator changes their behavior because of a screen in the control room. No one owns model maintenance. The insight fires at 2am and nobody acts on it. Six months later the project is dead.
Performa solves this — connecting intelligence to operator accountability, shift by shift.
We tell clients things most consultants won't. Most AI vendors sell you the algorithm and leave. We stay for both failure modes — because we've built platforms specifically to close them.
We've seen the full AI hype cycle. Data warehousing in the 90s. Business intelligence in the 2000s. Predictive analytics in the 2010s. LLMs now. Every wave promised transformation. The companies that actually transformed fixed their data infrastructure first, then built systems that made their people act on what it found. That's all we've ever focused on.
Most engagements start with Step 1 and earn their way through. The consulting work funds itself — the findings justify the platform investment. Step 4 ensures it keeps delivering.
We assess your data landscape, technology stack, and operational maturity. You get an honest picture of what's possible — and what isn't. We've recommended against projects that wouldn't have paid off. That's how we build relationships that last decades.
Typical deliverables: data audit, technology gap analysis, prioritized opportunity list with ROI estimates, honest go/no-go recommendation.
Engagement type: Fixed-fee consulting. No platform commitment required.
We connect to your data — SCADA, PLCs, lab systems, shift logs, ERP — and explore it systematically. Every finding is backed by your own numbers, not generic benchmarks. We develop AI algorithms tailored to your specific process: statistical process control, operator profiling, blend optimization, anomaly detection, root cause analysis.
We also recreate published academic research against your data. Peer-reviewed models built for your industry, validated on your operation. That's a level of specificity no off-the-shelf product can match.
Engagement type: Consulting project. Findings delivered as presentations, interactive dashboards, and actionable recommendations.
Findings don't pay the bills. Changed behavior does. We deploy TSAI for real-time data infrastructure and analytics, and Performa to put performance accountability in front of every operator on every shift. The platforms are the delivery mechanism for everything discovered in Step 2.
Deployment runs on-premise at your site — Docker-based, no cloud dependency, works on your plant network. Your data never leaves your facility.
Engagement type: Platform deployment. Currently active across 11 sites.
Deployment isn't the finish line. Models drift. Processes change. New operators come on shift. We provide ongoing support to keep the platforms calibrated, the algorithms current, and the scorecards meaningful — so the value compounds over time instead of decaying.
This is where most AI vendors disappear. We stay. The same team that built the model maintains it — because we understand the operation, not just the code.
Engagement type: Ongoing support & continuous improvement. Long-term partnership.
Tech Veritas — our consulting practice — was built around a simple premise: large consulting firms sell big ideas, but it's better to spend your money on something that works and people will actually use. Here's what that looks like in practice.
Thirty years of watching what works and what doesn't. These aren't values from a branding exercise — they're lessons from deployments that succeeded and ones that didn't.
TSAI handles the real-time sensor layer. But most mining operations also need a traditional data warehouse that integrates SCADA data with ERP, shift logs, lab results, production records, and maintenance history. We design and deploy both — and connect them.
We've built SSAS tabular models on SQL Server, PostgreSQL dimensional warehouses, and integrated datasets that bring together every data source in an operation into a single queryable environment. PowerBI sits on top for executive reporting. Excel add-ins give operational staff direct access without leaving the tool they already use every day.
Start a ConversationDimensional models (star schema), SSAS tabular cubes, FACT and DIM tables for production, delays, quality, maintenance. Designed for mining operational data patterns.
SCADA + ERP + lab + shift log + maintenance data joined in one place. The analytics that were impossible when your data lived in silos become straightforward.
Executive dashboards in PowerBI. Operational data access via Excel add-ins. Both layers work from the same warehouse, ensuring one version of the truth.
QuestDB for high-frequency sensor data (millions of rows per day). SQL Server for shift-level aggregations, production records, and cross-system joins. Connected, not siloed.
Most engagements begin with a no-obligation conversation about your data and what might be possible. We'll tell you honestly whether there's a fit.
