Applied AI Engineering

Applied AI systems that move businesses forward.

We design and deploy AI agents, intelligent business systems, process automation, computer vision and industrial AI solutions for organisations in Nigeria and across Africa.

Who we are: Applied AI engineers focused on measurable value. What we do: We turn complex workflows into intelligent systems. Who we serve: Businesses and industries ready to move forward.

Build for valueStart with your business problem→

Our mission

We build intelligent systems that help businesses operate faster, see clearly, and make better decisions.

Sentient Engineering is an Applied AI engineering company based in Lagos, Nigeria. We combine AI, software, automation and data infrastructure to solve practical commercial and industrial problems across Africa.

We engineer complete, dependable systems—not isolated models or abstract demonstrations. Every engagement begins with the business constraint and the value it should create.

Smart manufacturing facility showing applied AI in a real operation
Applied AI · Engineered for reality

Applied AI systems

Applied AI engineered into the work that runs your business.

We connect intelligence to customer channels, business software, cameras and identity workflows so systems can respond, inspect, verify, update and escalate work inside the organisation.

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Applied AI computer vision interface

Agents · Orchestration · Integration

01

AI Agents and Connected Workflows

Enquiries, customer records and follow-ups are often split across WhatsApp, email, websites and disconnected software, causing slow responses and missed opportunities. We build governed AI agents that retrieve trusted information, qualify leads, prepare quotations, update CRM records and coordinate follow-ups. Sensitive actions are routed to people for approval, giving teams faster response without losing control.

Faster enquiry response

Consistent customer follow-up

Less administrative handling

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AI agent connected to Gmail, WhatsApp, websites and business analytics

Manufacturing · Construction · Agriculture · Security

02

Practical Computer Vision Systems

Manual inspection and continuous site monitoring are difficult to perform consistently at scale. We deploy computer vision systems that analyse images and video to detect defects, identify and count objects, verify conditions and monitor safety or environmental events. Alerts and review queues help teams intervene sooner, improve inspection consistency and reduce repetitive manual monitoring.

More consistent inspection

Faster anomaly detection

Reduced manual monitoring

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Computer vision monitoring crops with a smartphone, drone and farm analytics

Identity · Access · Verification

03

Biometric and Facial Recognition Systems

Unreliable identity checks, access processes and attendance records create security and accountability gaps. We engineer privacy-conscious biometric identity systems for facial verification, access control, workforce attendance and visitor management. Secure data handling, audit trails, exception review and human oversight help organisations verify people more reliably while maintaining clear control over sensitive decisions.

Reliable identity verification

Stronger access control

Auditable attendance records

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Facial recognition system processing biometric landmarks

Systems we have engineered

Cloud

On-premise

Edge

Hybrid

Deployment architecture is selected around security, privacy, performance, regulation and operating conditions.

Custom Applied AI engineering for ambitious businesses

Custom AI Systems Built Around Real Business Problems

Sentient Engineering designs and builds practical AI and automation applications around operational requirements, business rules, workflows and performance objectives - not technology trends.

From internal knowledge systems and intelligent sales operations to biometric identity infrastructure and computer-vision-powered event platforms, we build systems that become part of how a business operates.

Our specialty

We do not force businesses into generic AI products.

We engineer intelligent systems around the way each business actually works. Solutions can support internal operations, customer-facing platforms, enterprise workflows and industry-specific processes.

Project-backed capabilities

Designed, built and connected to operations.

Each system below was developed around a specific process, approved operating logic and the business value it needed to create.

Commerce intelligence

01

AI-Powered Ecommerce and Product Discovery

We built an intelligent ecommerce platform for businesses selling complex, technical and high-value products. It helps customers move from an initial requirement to the right product and a qualified sales opportunity.

Operational problem

Complex catalogues, slow product selection and unstructured customer requirements create friction before a sales conversation can begin.

Relevant capabilities

  • Natural-language product discovery
  • Intelligent recommendations
  • Product knowledge assistance
  • RFQ and purchase-order workflows
  • Automated sales follow-up
  • Customer and sales data integration

Business value

Faster product discovery, better inquiry routing and shorter quotation cycles for complex purchases.

Computer vision

02

Computer Vision for Event Registration and Check-In

We built an event operations system that uses facial detection and recognition to support attendee registration, identity matching and event-day check-in, with human review and fallback processes.

Operational problem

Manual attendee lookup creates queues, weakens entry control and makes attendance records harder to reconcile.

Relevant capabilities

  • Attendee registration
  • Secure facial-data enrolment
  • Facial detection and identity matching
  • Real-time attendee lookup
  • Duplicate-entry prevention
  • Attendance and operations reporting

Business value

Shorter check-in queues, more reliable attendee verification and clearer event access data.

Revenue operations

03

Intelligent Sales Pipeline and Quotation Automation

We built an intelligent workflow that moves customer inquiries through requirement extraction, business-rule evaluation, quotation and structured sales progression.

Operational problem

Sales teams lose response time to repetitive inquiry handling, inconsistent evaluation and manual quotation preparation.

Relevant capabilities

  • Inquiry acknowledgement and extraction
  • Lead qualification
  • Business-rule-based decisioning
  • Quotation and approval workflows
  • Follow-up and sales-stage progression
  • Exception handling and activity tracking

Business value

Faster response, more consistent quotations and more sales capacity focused on qualified opportunities.

Identity infrastructure

04

Custom Facial Biometrics for Digital Identity Verification

We built facial biometric infrastructure for a KYC and AML technology company, supporting biometric comparison and identity-verification workflows within a broader compliance process.

Operational problem

Digital onboarding requires a dependable way to compare facial data, manage uncertain results and retain an auditable verification record.

Relevant capabilities

  • Facial detection and quality validation
  • Biometric feature extraction
  • Facial similarity comparison
  • Configurable decision thresholds
  • API integration
  • Audit records and manual review

Business value

A controlled biometric layer that identity providers can integrate into onboarding, risk and compliance operations.

Enterprise intelligence

05

Enterprise AI Knowledge and Information Retrieval

We built an internal AI knowledge system that lets authorized users search, retrieve and interact with organizational information through a conversational interface grounded in approved sources.

Operational problem

Employees spend too much time searching fragmented documents, and important organizational knowledge is difficult to access consistently.

Relevant capabilities

  • Enterprise document ingestion
  • Semantic search
  • Retrieval-augmented generation
  • Source-referenced answers
  • Role-based information access
  • Controlled knowledge updates

Business value

Faster information retrieval, more consistent internal answers and better access to institutional knowledge.

From internal intelligence to enterprise AI infrastructure

Custom systems for requirements generic software cannot adequately solve.

Every system is engineered around the client's objectives, workflows, data, operational constraints and growth requirements.

  • 01Internal business applications
  • 02Customer-facing AI platforms
  • 03Computer vision systems
  • 04Biometric identity solutions
  • 05Intelligent workflow automation
  • 06Enterprise knowledge systems
  • 07Sales and decision-support systems
  • 08Industry-specific AI applications

Start with the process

Have a business process that needs more than generic software?

Let us examine the process, identify where intelligence and automation can create measurable value, and engineer a system around your operational requirements.

Discuss Your AI ProjectExplore Our Capabilities

Business outcomes

AI should create measurable movement in revenue, cost, risk, or capacity.

Revenue velocity

01

Turn enquiries into revenue faster

Shorten response, quotation, and follow-up cycles so opportunities move forward sooner.

Cost efficiency

02

Lower the cost of repetitive work

Automate high-volume administration and keep people focused on higher-value decisions.

Operating margin

03

Get more value from every resource

Allocate teams, equipment, inventory, and capacity more effectively.

Risk and resilience

04

Detect loss, risk, and downtime earlier

Surface anomalies and failures before they become expensive disruptions.

Decision quality

05

Move from fragmented data to confident action

Convert business data into timely intelligence leaders can act on.

Scalable growth

06

Increase capacity without linear overhead

Support more customers and operations without matching growth in manual effort.

Industries

Engineered for the real world.

Systems shaped around the workflow, constraints, risk, and operating conditions of each environment.

Connected logistics network with cargo ship, trucks, aircraft, and port operations01

Logistics and Supply Chain

Route optimization, dispatch intelligence, delivery prediction, fleet monitoring, document processing, and live network visibility.

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Smart manufacturing facility with robotic production lines02

Manufacturing

Quality inspection, predictive maintenance, production intelligence, defect detection, scheduling, and inventory optimization.

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Modern medical imaging suite with MRI equipment03

Healthcare and Medical Services

Document intelligence, patient communication, appointment systems, inventory visibility, equipment monitoring, and workflow automation.

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Scientific laboratory microscope and testing equipment04

Scientific and Laboratory Equipment

Technical product search, quotation automation, purchase-order processing, product recommendations, after-sales support, and knowledge systems.

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Renewable energy and utilities infrastructure with wind, solar, hydro, and power transmission05

Energy and Utilities

Asset monitoring, anomaly detection, field inspection, maintenance intelligence, reliability analytics, and decision support.

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Engineers overseeing a major construction and infrastructure project06

Construction and Infrastructure

Site monitoring, safety compliance, project intelligence, document processing, equipment tracking, and progress analysis.

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Autonomous package delivery supporting modern retail and commerce operations07

Retail and B2B Commerce

Product intelligence, customer engagement, demand planning, sales automation, quotation workflows, and inventory optimization.

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Field service professional coordinating work with a connected tablet08

Professional and Field Services

Knowledge systems, scheduling, customer operations, reporting, field coordination, document automation, and decision support.

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Engineering capabilities

Every layer required to move from possibility to dependable use.

Swipe to explore

01

Generative AI

02

Large Language Models

03

Retrieval-Augmented Generation

04

Computer vision

05

Natural Language Processing

06

Predictive Analytics

07

Optimization

08

AI Agents

09

Voice AI

10

Workflow Automation

11

Data Engineering

12

Cloud Infrastructure

13

APIs and Integrations

14

Vector Databases

15

MLOps

16

Edge AI

How we work

From business problem to measurable improvement.

  1. 01

    Understand

    We study the core problem, objective, workflow, data, systems, constraints, and success metrics.

  2. 02

    Design

    We define the architecture, AI capabilities, integrations, user experience, governance, and deployment approach.

  3. 03

    Build

    We engineer the application, workflows, data pipelines, models, APIs, infrastructure, and interfaces.

  4. 04

    Deploy

    We integrate the system with the existing environment and prepare it for secure production use.

  5. 05

    Operate and Improve

    We monitor outcomes, update knowledge, optimize workflows, and improve the system continuously.

Managed AI

Deployment is only the beginning.

01Performance monitoring and evaluation
02Knowledge and model updates
03Infrastructure and integration management
04Security and access control
05Cost and reliability management
06Continuous improvement

Start a project

Let's engineer a better way for your business to operate.

Tell us about the challenge, workflow, customer experience or business process you want to improve. Our engineering team will assess it and recommend a practical AI or software system.

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.