History registrado
72 °C
Sensor 32 · reading at 9:00 a.m.
INTELLIGENCE FOR THE PHYSICAL WORLD
See the whole.Make a better decision.
BiomeTrace brings physical assets
into the digital world.
The site connects fragmented information from sensors, systems, documents and territory, with traceable sources, to support managers’ decisions.
THE PROBLEM
The operation has data.
Decisions still depend on someone connecting the dots.
Maintenance changes a piece of equipment. An input compromises a batch. A change in the territory alters a project’s risk.
To respond, someone must find the information, understand the consequences and follow the resolution. When these connections depend on messages and memory, management must rebuild the context every time.
- 01What changed?
- 02What will be affected?
- 03Who needs to act?
- 04Was it resolved?
Lessons from documented cases
Cases across different industries show why information, responsibilities and decisions must remain connected.
RefiningInformation must follow the maintenance process
Texas City, USA · 2005
US$30 million
in property damage reported by the CSB
According to the CSB, visually similar piping components made from different materials were installed in reversed positions during maintenance. One then operated under conditions unsuitable for its material and ruptured months later, causing a fire at BP’s refinery.
How BiomeTrace could support the response
Link each component to its specification and position, surface constraints in the maintenance order and route verification to the responsible person before release.
Part → material → position → operating condition
Oil and gasHistory must inform the response
Marshall, USA · 2010
More than US$767 million
in cleanup costs as of the report date
The NTSB found that an Enbridge pipeline rupture went without proper identification and response for more than 17 hours. Two additional startups accounted for 81% of the spilled volume. The investigation cited integrity, training and response issues, including previously documented defects.
How BiomeTrace could support the response
Present current signals alongside integrity history, apply investigation criteria and route the case to the responsible team, with a deadline and response tracking.
Inspection → history → current signal → procedure
SemiconductorsOne input connects an entire production chain
Taiwan · 2019
NT$3.4 billion
in estimated loss recognized in Q1 2019
TSMC reported that a batch of out-of-spec photoresist affected wafers and required production to be scrapped. The impact appeared in wafer yields. The loss was recorded in cost of revenue; NT$ denotes New Taiwan dollars.
How BiomeTrace could support the response
Trace which batches and deliveries depend on an input, consolidate quality results and support the team in prioritizing inspections, containment and rescheduling.
Supplier → input → batch → customer delivery
MiningUnderstanding a signal requires understanding the dam
Fundão, Brazil · 2015 / 2024 settlement
R$170 billion
in commitments under the 2024 reparation settlement
The 2024 settlement related to the 2015 Fundão dam failure combines amounts already spent with future reparation obligations. After the event, BHP announced centralized dam management and risk reviews.
How BiomeTrace could support the response
A sensor changes behavior. To interpret the signal, the team must review recent rainfall, inspections and the dam’s history. BiomeTrace could assemble this context, route the assessment to the responsible person and track the response, deadline and decision record.
Sensor → history and inspections → assessment → response
Forest assetsEnvironmental value must endure
California program · 2022 study
5.7–6.8 million
carbon credits in estimated wildfire reversals
The study estimated losses equivalent to 95%–114% of the buffer pool allocated to cover a century of wildfire risk, in less than a decade. The measure concerns carbon, not financial loss. It covers forest carbon projects, not every form of regeneration.
How BiomeTrace could support the response
Connect plots, environmental conditions, interventions and commitments. Support periodic risk reviews and route inspections with evidence of how each area is evolving.
Area → vegetation → risk → management → commitment
Facts and figures are attributed to the sources shown. The support described for BiomeTrace is hypothetical and depends on validated sources, rules and integrations. It does not imply involvement in these cases or prove the technology would have prevented them. Assessments and approvals remain with the responsible technical professionals.
Less time rebuilding context.
More capacity to decide and follow through.
START WITH THE IDEA
How do we build context?
Building context means organizing information about what exists in an operation and how each element relates to the others.
For example
A pump feeds a circuit.
A sensor monitors that pump’s condition.
THE STRUCTURE OF CONTEXT
What exists.
What we know.
How it connects.
Five interconnected elements describe the operation and give data meaning.
- Entities
- What exists: a pump, a sensor, a person.
- Properties
- What we know: temperature, location, state.
- Relationships
- How they connect: the pump feeds the circuit.
- Events
- What happened: a reading, inspection or shutdown.
- Rules
- The criteria: limits and conditions used to interpret the operation.
Where do artificial intelligence and actions fit?
The site organizes information and relationships to support managers’ analysis. The BiomeTrace engine explores a hypothesis: reducing the effort to build and update this context. That benefit still needs validation. Recommendations require human review, without autonomous decisions.
FROM VALUE TO MEANING
An isolated data point is only a value.
Operational meaning emerges from relationships.
ILLUSTRATIVE DATA
Sensor 32 = 87 °C
One reading. Several relevant relationships.- Equipment
- Measures the temperature of bearing 4 on pump B.
- Process
- The pump feeds circuit C.
- History
- Recorded readings and inspections.
- Criteria
- Operating limits and conditions.
This interconnected view makes it possible to interpret the reading in the context of the operation.
WHERE BIOMETRACE OPERATES
Your systems operate the parts.BiomeTrace connects the systems.
Industrial control remains in the systems that already perform it.
BiomeTrace adds context across them.
Sensors and control
Measurements, machine operation and alarms.
IoT · CLP / PLC · SCADA / HMIMaintenance and management
Interventions, production, resources and business records.
CMMS · ERP · BANCOS DE DADOSDocuments and territory
Reports, field observations and geographic information.
DOCUMENTOS · GISUnderstand the sources and integration scope
Sensors / IoT record physical conditions. PLC executes control logic. SCADA / HMI provides supervision of variables, alarms and commands.
CMMS organizes maintenance. ERP brings together management records. GIS organizes geographic information. Documents, databases and system interfaces (APIs) complete the context.
Sources, connectors and permissions are defined for each deployment. This view describes integration possibilities, not a catalog of connectors already available.
OPERATIONAL MEMORY
Every asset carries its history.
Recorded history makes it possible to compare the current state with the previous one and understand what changed.
Current state
87 °C
Sensor 32 · reading at 10:00 a.m.
What changed
The recorded temperature rose 15 °C in one hour.
Illustrative example. The change is a recorded fact; its cause requires investigation.APPLICATION EXAMPLES
Explore the operation.Build the context for the decision.
Different operations. The same need to understand how the parts connect.
BIOMETRACE / OPERATION VIEWMODEL 3D
Preparing the spatial model…
Drag to orbit · select an asset
DAM / ASSET B-01ILLUSTRATIVE SCENARIO
MODEL 01
Where should a change in the dam be investigated?
Instrumentation, inspections and territory in the same assessment.
INSTRUMENTATION
A leitura precisa de contexto.
Connect measurements, rainfall and inspection records.
Conceptual example. Interpretation and routing depend on technical validation, permissions and real-world conditions.
Conceptual examples · simulated geometries and data. Applications extend beyond these industries; every case requires its own sources, rules and validation.
CONTEXT IN MOTION
From data to action.
From action to memory.
With structured context, artificial intelligence and machine learning can identify patterns, support analysis and recommend next steps.
Connect
Bring together the relevant sources.
Represent
Give data structure and meaning.
Remember
Preserve past events and states.
Infer
Investigate patterns and hypotheses.
Act
Route action with rules and accountable owners.
Learn
Add the outcome to memory.
How to interpret analyses and hypotheses
A correlation guides an investigation; it does not prove causation. Estimates of future events depend on sufficient history, validated models and uncertainty assessment. Adding outcomes to history does not mean models are automatically retrained.
RESPONSIBLE ACTION
BiomeTrace found something relevant.
What happens next?
The team assesses the context. Rules and permissions define how the decision moves forward, and the record preserves what happened.
What decisions can this context support?
Investigate, monitor, inspect, review a process, request maintenance or decide not to act. There is no mandatory response to every anomaly. The decision, owner, deadline and outcome should remain linked to the evidence that supports them.
TRUST IS BUILT
Know where the information comes from.
And what supports the conclusion.
More context helps identify and reduce uncertainty. When technically grounded, uncertainty can also be quantified.
Origin and traceability
Identified sources, dates and transformations.
Quality and limits
Explicit gaps, hypotheses and confidence levels.
Human accountability
Recorded permissions, decisions and accountable owners.
Product stage and scope evolution
Current foundation
Initial scope by asset and use case. The Tessera semantic core is under development.
Pilots / design partners
Work with partners to define and validate sources, connectors, rules, actions and success criteria for each application.
Roadmap
Full transformation traceability, validated forecasts, copilots and richer digital representations are part of the product vision.
WHO BUILDS BIOMETRACE
Product vision.
Technical depth.
A team connecting business, science and software to understand complex operations.
Lucas Nacci
LinkedIn ↗Product leader and entrepreneur. Master’s candidate in Business Administration at UFRGS, focused on innovation, technology and sustainability. Connects operational needs, data and strategy to shape digital products and business models.
Pedro Schwanck
LinkedIn ↗Software engineer and data scientist. Master’s candidate in Analytical Chemistry at UFRGS, combining computer science and chemistry with experience in SaaS platforms, integrations, automation and machine learning.
Business and implementation
From understanding the challenge to working alongside the customer.
Braian Gabriel
With experience managing sales teams, connects customer needs with BiomeTrace’s offering. Focuses on business development and commercial relationships grounded in the challenges of each operation.
LinkedIn ↗
Gabriel Alcantara
Represents BiomeTrace in São Paulo, developing new business opportunities and partnerships. Takes part in meetings and events, introducing the company’s offering and building connections with prospective customers and partners.
LinkedIn ↗
Pedro Odorize
Production engineer and master’s student in Computer Science at UFRGS. Works at the intersection of industry, business and data, connecting operational challenges with the application of technology solutions alongside customers.
LinkedIn ↗Advisors
Experience in strategy, growth and governance.
ADVISOR
Simone Ponce
Founder and CEO of Bee2Be. Background in business development, marketing and leadership in Brazil and Latin America. Contributes strategic, growth and socio-environmental impact perspective.
LinkedIn ↗
ADVISOR
Vitor Lopes da Costa
Co-founder of Bee2Be, where he leads corporate affairs, ESG and business development. A lawyer with experience in corporate law, compliance and governance, including serving as Senior Counsel at Mondelez International.
LinkedIn ↗Which operational decision still requires your team to assemble and interpret context manually?
Map a use case ↗DEMOSelf-guided
Interactive experience with a simulated facility and data.
Self-guided
experience.
Explore a 3D microelectronics campus, investigate a signal and follow the decision through to its outcome.
Enter the self-guided demo ↗Register and request a conversation to access it.Interactive experience with a simulated facility and data.
