LAAI · AI applied to business

Strategic AI for companies that want to grow with more efficiency, intelligence and speed.

LA AI builds bespoke Artificial Intelligence systems for companies that need to leave experimentation behind and apply AI in a practical, secure, results-driven way.

Advisory, strategy, development and deployment of AI for companies in Brazil.

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Positioning

We don't sell APIs.

We build systems.

Proprietary models, autonomous agents and exclusive applications — designed for markets where generic solutions are not an option.

01 · Diagnosis

AI stalled at experimentation.

We recognize these symptoms in mid-large Brazilian companies that tried AI and never reached outcomes.

01

POCs that never reach production

Isolated pilots, models running in notebooks, projects parked waiting for ‘the next phase’ for quarters.

02

Fragmented AI stack

Many tools, many APIs, no governance. Costs rise, security degrades, ROI is unmeasurable.

03

Teams without technical direction

Internal teams eager to apply AI, but lacking architecture, standards and a roadmap to do it safely.

04

Invisible regulatory risk

LGPD, central bank, regulated sectors. Off-the-shelf doesn't fit. Mistakes are expensive and legal blocks progress.

02 · Solutions

AI systems that ship to production.

Five complementary fronts. Hire one or design an integrated portfolio.

03 · Executive profiles

For every seat at the table.

The conversation changes with the decision-maker. Pick a profile to see the lens.

I want to know where AI creates real competitive advantage — and what it costs to get there.

  • Competitive positioning vs. AI
  • Build vs. buy decisions
  • Reputational and ethical risk
+1 yrtechnical lead
−40%decision time
1 sourceexecutive truth
04 · LA AI Method

From hypothesis to operation.

Five steps that prevent eternal pilots. Each stage has deliverables, metrics and decision gates.

M1

Diagnostic

Opportunity map, estimated value, data readiness.

2–3 wks
M2

Strategy

Prioritized roadmap, reference architecture, governance.

2 wks
M3

Proof of Value

POC with production criteria and business metric defined.

4–6 wks
M4

Deployment

Model, integrations, security, observability and UX.

6–12 wks
M5

Continuous Operations

Evolution, fine-tuning, eval suite, cost per use, new features.

Recurring
05 · Domains

Where we apply it.

Vertical and functional cuts. Technical teams paired with domain experts.

Authority

Applied vanguard. Built by people who understand business, model and code.

01Reference brandsExecutive posture next to Claude, GPT, Mistral and proprietary models — chosen by criteria, not by hype.
02Regulated sectorsBanking, manufacturing, health and government. Where compliance is as critical as performance.
03Integrated teamsML engineers, architects, designers and strategists. One senior counterpart.
04CommitmentYou leave experimentation. Guaranteed by contract with production gates.
Next step

Ready to take your AI from the lab and into production?

LA AI · Strategic AI consulting and development