Research, laboratories and engineering teams

AI systems for research, engineering and technical decisions.

Applied AI for engineering drawings, field work, forecasting, process optimisation, simulation, materials, molecular data and geospatial risk.

Discuss This Engineering Problem
Scientific laboratory microscope and analytical equipment in a controlled environment
Scientific laboratory microscope and analytical equipment in a controlled environment

The operating challenge

Where the current system loses evidence or control.

Technical organisations work across measurements, simulations, drawings, reports and expert procedures that are difficult to connect. The challenge is to accelerate analysis without obscuring evidence, uncertainty or engineering accountability.

Our engineering approach

The complete system—not an isolated model.

We combine domain knowledge, data engineering, suitable models and human validation. The system is designed around the evidence and tolerances required for its specific scientific or engineering decision.

Engineering sequence

From raw evidence to an accountable decision.

  • •Define the technical decision
  • •Assemble and qualify evidence
  • •Model with explicit uncertainty
  • •Validate and integrate into practice

Complete system architecture

Input

Business + physical world

Acquire

Data + signals

Interpret

Models + software

Operate

Human + system action

Evidence becomes an operating decision.

Applications

Where this capability becomes useful.

  • •Engineering drawing and schematic intelligence
  • •Field-engineer copilots
  • •Energy-demand and renewable-generation forecasting
  • •Water-network and process intelligence
  • •Simulation surrogate models
  • •Molecular, materials and geospatial intelligence

Capability focus

Engineering drawing and field intelligence

Technical copilots can help teams interpret controlled documents and capture field evidence while keeping source material and human escalation available.

  • •OCR and vision-language analysis
  • •Symbol, tag, dimension and quantity extraction
  • •Drawing comparison and bill-of-material support
  • •Guided inspection and troubleshooting
  • •Procedure retrieval and safety reminders
  • •Evidence capture and maintenance reporting

Capability focus

Forecasting and process intelligence

Operational models can combine historical measurements with contextual data to support planning, anomaly detection and resource decisions.

  • •Power and peak-load forecasting
  • •Renewable-generation forecasting
  • •Leak and pressure anomaly detection
  • •Possible pipe-failure alerts
  • •Energy and waste optimisation
  • •Throughput and downtime-risk support

Capability focus

Simulation and discovery assistance

Surrogate and property models can narrow large search spaces and prioritise deeper analysis or experiments; they do not replace validated simulation or laboratory evidence by default.

  • •FEA and CFD surrogate models
  • •Design-space exploration
  • •Molecular property ranking
  • •Solubility and toxicity-risk estimation
  • •Materials candidate ranking
  • •Experiment prioritisation
  • •Flood and erosion mapping
  • •Satellite and drone change detection

Responsible boundary

Surrogate, molecular and materials models support comparison and prioritisation. Their outputs require domain validation and do not replace regulated evidence, validated engineering simulation or laboratory testing unless specifically proven fit for that purpose.

Connected environment

Built around existing systems.

  • Technical PDFs, drawings and manuals
  • SCADA, IoT and production data
  • FEA, CFD and simulation results
  • Scientific, molecular and geospatial datasets

Intended value

•

Faster technical retrieval

•

More systematic field evidence

•

Broader scenario exploration

•

Clearer decision support

Scientific documentsComputer visionSignal analysisAll services

Start with the problem

Have a business, scientific or engineering problem worth solving?

Tell us where your organisation is losing time, visibility, reliability, quality or customer opportunity. We will determine the complete system required to improve it.

Discuss your projectChat on WhatsApp

Project enquiry

hello@sentientengineering.com.ng

Send an overview of your business problem, current process and expected outcome.

WhatsApp or phone

+234 707 351 2305

Speak directly with our team about your project, automation opportunity or AI system.

Location

Lagos, Nigeria

We work with businesses in Nigeria and across Africa, with remote delivery available for suitable projects.