Data trapped in silos
The quote lives in a PDF, the approval in a WhatsApp thread, the part status in a paper logbook. No model reasons over information it cannot reach.
Autonomous agents, industrial computer vision and data infrastructure that do real work inside plants, fleets, supply chains and public services. Not another dashboard. Execution.
The quote lives in a PDF, the approval in a WhatsApp thread, the part status in a paper logbook. No model reasons over information it cannot reach.
You cannot automate a workflow nobody ever wrote down. Most industrial operations run on habit, memory and phone calls, not on structured events.
A demo impresses a committee. Production survives a Monday at 6 a.m. with a broken sensor and an angry client. We build for the second one.
Each vertical sharpens the core, and a sharper core makes the next vertical cheaper to launch. That compounding is the business.
The runtime every other product sits on: persistent operational memory, tool orchestration, domain rules, escalation logic and an immutable log of every action an agent takes.
Processes, inventory, suppliers, quotes, machinery and people in one traceable layer. AI reads the operation as it happens and writes the reports management used to build by hand.
Photograph a part. The model identifies material, manufacturing process, comparable parts and which suppliers near you can actually produce it, mapping North America's real manufacturing capacity.
Street lighting, fountains and municipal energy under continuous supervision. The system predicts electrical failures before the outage and coordinates the crews that fix them.
AI infrastructure for fleets and workshops: automatic maintenance scheduling, SLA supervision, escalation and follow-up without a single phone call.
Commercial agents that sell, collect and follow up on their own, across WhatsApp, email and voice, recovering revenue that was quietly written off.
Where multi-agent architectures, industrial ontologies and reasoning models are tested before they ever touch a client's operation. What survives here becomes product.
We map your operation and score every candidate use case on a value-versus-difficulty matrix, so the first deployment is the one that pays for the rest.
Agents built on your rules, your vocabulary and your escalation paths. They schedule, negotiate, chase suppliers, close tickets and hand off to a human when the stakes call for it.
Recognition of parts, materials, defects and manufacturing processes from a single photograph, deployed on the phones your team already carries.
Telemetry, usage cycles and failure history become a forecast: which unit breaks next, when, and what it costs to wait.
Connectors for ERP, telemetry, CRM, messaging and spreadsheets. Bidirectional sync, webhooks, retries and full audit. No rip-and-replace.
Every decision, photo, approval and agent action timestamped and attributable. Auditable evidence for compliance, disputes and certification.
Not predictions on a screen. Decisions taken, messages sent, cases escalated, each one logged, attributable and reversible.
Fewer operational phone calls to workshops and suppliers
Increase in fleet uptime across managed operations
Less administrative time per maintenance event
Autonomous agent coverage, including weekends and holidays
The AI projects that survive share four things: proprietary data, deep integration into the workflow, engineering owned in-house, and operational discipline. Treitus has been built that way from the start.
Part geometries, repair timelines, supplier capacity, failure histories and negotiation outcomes, generated inside real operations, structured by our own ontology and unavailable on the open internet.
Our agents hold the system of record: they schedule the job, approve the part, log the evidence. Replacing Treitus means replacing the operation itself, the opposite of a swappable model wrapper.
Fleets, manufacturing, revenue operations and urban infrastructure all run on the same core. Each new vertical costs less to launch than the last and enriches the shared data layer.
The team that designs the architecture is the team that deploys it and keeps it alive in production. There is no layer of intermediation between whoever understands the problem and whoever writes the code.
Enterprise deployments were built and shipped by a compact senior team funded by client revenue. Nothing scales here before it has proven it works in someone's real operation.
U.S. corporate structure with engineering distributed across both countries. One operation serving North American industry without friction of time zone, language or jurisdiction.
Technology is the superpower for building digital bridges that let us move forward and create value for the world.Treitus, Inc. — founding principle
Treitus runs on a compact senior engineering team. The same people who design the architecture deploy it, monitor it and answer when something breaks at three in the morning. Nothing is handed off to a support tier that never saw the code.
Treitus was founded by Karim Ariceaga, CEO. It runs enterprise deployments across automotive, logistics, financial operations and municipal infrastructure, with offices in the United States and Mexico.
We deliberately stay small. A short chain between the problem and the person solving it is not a stage we are trying to grow out of, it is how the work stays good.
AES-256 at rest, TLS 1.3 in transit. Credentials and personal data are never stored in plaintext at any point in the pipeline.
Granular permissions per user, team and integration. Every action is attributed to an identity, human or agent.
Full trail of every agent action, access and data change. Exportable for compliance reviews and dispute resolution.
Choose where your data lives: United States, Mexico or Europe. Private cloud deployment available for regulated operations.
Every agent has defined limits and escalation paths. High-stakes decisions stop and wait for a person by design.
Your operational data is yours. Exportable in open formats, with no lock-in clauses on the information your operation generates.
Alliances
Tell us where your operation loses time, money or visibility. We will come back with an architecture, not a brochure.