Applied AI Laboratory, CDMX
Decision-grade AI systems turn fragmented data into clear action.
Ikasu Labs is an applied AI laboratory and development studio. You get signals, recommendations, and traceable decision workflows on top of the data you already have, so your team cuts cost, risk, and execution friction in weeks, not months.
Governance, auditability, and explainability by default
2-6 wks
Fixed-scope pilot
Exports first
Start without IT tickets
100%
Traceable decisions
CDMX → Global
Based in Mexico
01 / The Problem
Most organizations don't have a data problem. They have a decision problem.
ERP reports, spreadsheets, internal tools, and dashboards give you more information without faster, defensible decisions. When volatility hits, you get firefighting, conflicting numbers, and slow response.
Different teams arguing over "whose numbers are right"
Risks discovered too late: stockouts, downtime, SLA misses, compliance gaps
Decisions trapped in spreadsheets and tribal knowledge
Projects that take months before anyone can use them
The cost of indecision compounds daily
02 / The System
The Ikasu Decision Stack.
Every deployment assembles from the same seven-layer architecture, so your pilot becomes a platform instead of a one-off project. You adopt it layer by layer. Each layer pays for itself.
Ingestion
ERP exports, spreadsheets, sensor streams, and logs, connected in days, not quarters.
Ontology
One shared language for assets, orders, and events. The debate over whose numbers are right ends here.
Signal Engine
Forecasts, anomalies, and risk scores surface what will likely break or become an opportunity.
Recommendation Engine
Concrete actions ranked by impact, with the cost of doing nothing made explicit.
Decision UI
A focused workflow: top risks → recommended actions → one-click execution or escalation.
Copilot
Grounded GenAI over your ontology. Ask why a signal fired and get the traceable answer.
Governance
Access control, audit trails, and evaluation harnesses wrapped around every layer.
One stack. Every industry. Reusable by design.
03 / What We Deliver
Systems that produce decisions, not more dashboards.
You get a repeatable decision layer on top of your existing systems. We unify the data you already have, generate decision-grade signals, and turn them into recommended actions with full traceability.
Signals
Forecasts, anomalies, and risk scores surface what's likely to break or become an opportunity, before it hits the P&L.
Actions
Concrete recommendations: what to do, why it matters, and the cost of doing nothing. Ranked by impact, not by gut feel.
ROI Scoreboard
A wins ledger tied to real KPIs, so value stays visible, attributable, and defensible in the boardroom.
04 / Who It's For
For leaders responsible for outcomes.
You're accountable for operational performance, cost, risk, or service levels, and your organization runs on ERP, spreadsheets, and siloed tools. This is built for you.
05 / How We Work
A clear path from interest to measurable impact.
The engagement model de-risks AI adoption: small surface area, fast feedback, and proof before scale.
Define success
You align with us on 1-3 business outcomes and the KPIs that prove impact. No outcome, no engagement.
Connect data fast
Exports first: CSV, Excel, ERP dumps. Formal integrations come later. Pilots don't die waiting on IT.
Launch a decision loop
A focused workflow goes live: top risks → recommended actions → traceable reasoning your team uses daily.
Prove value, then expand
Weekly steering, monthly ROI review. You expand by module, site, or use case without bespoke chaos.
06 / Capabilities
A laboratory's toolkit, a studio's finish.
Four practice areas, one integrated delivery team. We build apps and dashboards when they're the delivery vehicle for an AI outcome. You get product value, not generic dev.
Operational Intelligence
Predict risk, detect anomalies, and drive recommended actions across your operational workflows.
- Demand & failure forecasting
- Anomaly detection
- Risk scoring
- Alert triage workflows
Applied GenAI
Grounded copilots and workflow automation, designed with evaluation and guardrails instead of hype.
- Domain copilots
- Document intelligence
- Workflow automation
- Evaluation harnesses
Data Foundation
Ingest from your ERP, spreadsheets, and internal tools. Unify definitions. Make the source of truth usable.
- Ingestion pipelines
- Business ontology
- Metric unification
- Data quality plans
MLOps & Governance
Monitoring, drift awareness, audit trails, access control, and reliability built into every delivery.
- Model monitoring
- Audit trails
- Access control
- Incident playbooks
07 / The Pilot Offer
Start with a fixed-scope pilot. 2-6 weeks.
The fastest way to prove impact safely, without committing to a multi-month 'transformation.'
What you get
- KPI baseline + success criteria (and exit criteria)
- Data intake + quality plan: no blame, full clarity
- First decision workflow live: what to do next
- Executive-ready weekly updates
- ROI scoreboard and expansion plan
What we need from you
- An executive sponsor
- A domain owner (ops / finance / risk)
- Sample data exports or read access
- 60 minutes per week for steering
Not ready for a pilot? Book a call and we'll send a 1-page plan.
08 / Trust
Trust is a feature. Governance is built in.
Your executives get explanations, your IT team gets predictability. Every system we ship is sponsorable inside a real organization.
Explainable outputs
Why a signal fired, what changed, and what data supports it.
Traceability
Audit trails for key actions and decisions: who did what, when, and why.
Access control
Role-based permissions by default, scoped to your org structure.
Data minimization
We use what the system needs and keep it controlled. Exports first, always.
Reliability
Predictable cadence, clear failure modes, graceful recovery.
Security review ready
Architecture and data-handling notes available under NDA. Request access.
09 / Proof
What good looks like after deployment.
Fewer surprises, faster decisions, measurable KPI movement. From a predictive-maintenance deployment for a mid-sized manufacturer.
25%
Reduction in unplanned downtime
$500K
Maintenance cost savings
5%
Increased asset availability
15%
Team productivity improvement
10 / FAQ