# Alector Lab – Enabling Technologies Ltd

Canonical domain: https://alectorlab.com
Company description: Alector Lab engineers production AI systems: agent workflows, computer vision pipelines, multimodal products, and spatial computing systems for real-world operations.
Mission: Turn difficult operational workflows into reliable AI products that teams can understand, operate, and improve.
Engagements: Alector Lab works from discovery and evaluation through product engineering, deployment, and ongoing operation. Engagements begin with the workflow, data, and constraints rather than a predetermined model.
Contact: alectorlab@gmail.com
Company source: https://alectorlab.com/about
Inquiry: https://alectorlab.com/contact

## Customers and governance
Product and operations teams with a defined workflow, representative data and a need for reliable deployment.
We build and operate cloud and edge AI architectures with clear latency budgets, evaluation harnesses, and human-in-the-loop review for anything that touches money, safety, or compliance.
Requirements are deployment-specific; no company-wide certification is asserted here.

## Engineering services
- [Spatial Computing Development](https://alectorlab.com/services/spatial-computing-development) — content updated 2026-09-10
- [AI Product Development](https://alectorlab.com/services/ai-product-development) — content updated 2026-09-10
- [Enterprise AI Agents](https://alectorlab.com/services/enterprise-ai-agents) — content updated 2026-09-10
- [Computer Vision Development](https://alectorlab.com/services/computer-vision-development) — content updated 2026-09-10
- [Multimodal Document Intelligence](https://alectorlab.com/services/multimodal-document-intelligence) — content updated 2026-09-10
- [Sports Video Analytics](https://alectorlab.com/services/sports-video-analytics) — content updated 2026-09-10
- [Edge AI & Industrial Inspection](https://alectorlab.com/services/edge-ai-industrial-inspection) — content updated 2026-09-10
- [AI Evaluation & Observability](https://alectorlab.com/services/ai-evaluation-observability) — content updated 2026-09-10

## Technical expertise
- [Agentic AI](https://alectorlab.com/capabilities/agentic-ai) — content updated 2026-09-07
- [Computer Vision](https://alectorlab.com/capabilities/computer-vision) — content updated 2026-09-07
- [Multimodal AI](https://alectorlab.com/capabilities/multimodal-ai) — content updated 2026-09-07
- [AI Product Engineering](https://alectorlab.com/capabilities/ai-product-engineering) — content updated 2026-09-07
- [Spatial AR/VR & 3D Vision](https://alectorlab.com/capabilities/spatial-ar-vr) — content updated 2026-09-07

## Industry workflows
- [AI for Sports](https://alectorlab.com/solutions/sports-intelligence) — content updated 2026-09-06
- [AI for Software & SaaS](https://alectorlab.com/solutions/b2b-ai-products) — content updated 2026-09-06
- [Manufacturing & Visual Intelligence](https://alectorlab.com/solutions/visual-intelligence) — content updated 2026-09-06
- [AI for Healthcare & Life Sciences](https://alectorlab.com/solutions/healthcare-life-sciences-ai) — content updated 2026-09-06
- [AI for Financial Services & Insurance](https://alectorlab.com/solutions/financial-services-insurance-ai) — content updated 2026-09-06
- [AI for Retail & Commerce](https://alectorlab.com/solutions/retail-commerce-ai) — content updated 2026-09-06
- [AI for Logistics & Field Operations](https://alectorlab.com/solutions/logistics-field-operations-ai) — content updated 2026-09-06
- [AI for Real Estate & Property](https://alectorlab.com/solutions/real-estate-property-ai) — content updated 2026-09-06
- [AI for Media, Advertising & Signage](https://alectorlab.com/solutions/media-advertising-ai) — content updated 2026-09-06
- [AI for Energy & Infrastructure](https://alectorlab.com/solutions/energy-infrastructure-ai) — content updated 2026-09-06
- [Robotics & Physical AI](https://alectorlab.com/solutions/robotics-physical-ai) — content updated 2026-09-06

## Selected project portfolio
These project records describe published product scopes. Conceptual illustrations are not product screenshots. Numeric outcomes without recorded approval and measurement context are withheld.
- [TSX Sports AI — Football Performance Analytics](https://alectorlab.com/work/tsx-sports-ai-football-analytics)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; outcome labels are descriptive rather than independent performance measurements.
  Source: https://tsxsports-ai.com/
  Qualitative context: No tagging: Automated workflow; Sideline: Camera-first design
- [Nepean Air Conditioning — Agentic CRM](https://alectorlab.com/work/nepean-air-conditioning-agentic-crm)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; claims describe visible workflow coverage and are not independent performance measurements.
  Source: https://d360njnqy87upx.cloudfront.net/
  Qualitative context: End-to-end: CRM delivery; Agentic: Workflow assistance; Office + field: Shared context
- [Dandy AI — Real Estate Agent Platform](https://alectorlab.com/work/dandy-ai-real-estate-platform)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; claims describe the published product scope.
  Source: https://dandy-ai-realestate.web.app/
  Qualitative context: Mobile + web: Connected product; AI host: Showing assistance; Agent-first: Workflow design
- [Timebrews — AI Signage & Advertising CRM](https://alectorlab.com/work/timebrews-ai-signage-crm)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; claims describe the published product scope.
  Source: https://timebrews-signage-dev.web.app/
  Qualitative context: Multi-location: Ad delivery; Android: LED network; Audience: Demographic insights
- [Tactico AI — Football Performance Analytics](https://alectorlab.com/work/tactico-ai-football-analytics)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; claims describe the published product scope.
  Qualitative context: Minutes: To searchable highlights; Player + ball: Tracking foundation
- [VeraVoice — AI Phone Receptionist](https://alectorlab.com/work/veravoice-ai-receptionist)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; operational metrics are not independently audited.
  Qualitative context: See project description.
- [Brands10x — Autopilot for Online Stores](https://alectorlab.com/work/brands10x-ecommerce-autopilot)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; commercial metrics are not independently audited.
  Qualitative context: See project description.
- [AI Video Analytics — Real-Time Camera Intelligence](https://alectorlab.com/work/real-time-ai-video-analytics)
  Owner: Alector Lab – Enabling Technologies Ltd. Relationship: direct. Alector Lab project record; claims describe the published product scope.
  Qualitative context: Real time: Stream processing; People + vehicles: Core tracked classes; Event-led: Prioritized review

## People and AI-agent team
Alector Lab is founder-led. Muhammad Faysal is the only human presented as a person. The named AI-agent members are synthetic system identities, not human employees, legal persons or public profiles.
- [Muhammad Faysal](https://alectorlab.com/team/muhammad-faysal) — Founder & Technical Lead. A software engineer and product builder working across AI product engineering, computer vision, mobile and web systems, and spatial computing.
AI-agent members: Ada Mercer — Applied AI & Agent Systems Engineer; Elias Voss — Computer Vision & Spatial AI Engineer; Nora Chen — Full-stack Product Engineer; Malik Arden — ML Platform & MLOps Engineer; Sofia Vale — Product Designer & UX Researcher; Theo Hart — AI Evaluation, Quality & Security Engineer; Ayesha Khan — Data & Knowledge Systems Engineer; Hamza Siddiqui — Solutions Architect & Integration Engineer; Leila Rowan — AI Product Strategist; Daniel Okafor — Customer Implementation & Success Engineer; Yuna Park — AI Research Scientist; Zain Ahmed — Technical Operations & Reliability Engineer.

## Engineering guides
The engineering guides are authored by founder and technical lead Muhammad Faysal. Design guidance and illustrative examples are not client benchmarks. Each article links its references.
- [Inside 2026 Football Telemetry: Fusing 500Hz Ball Sensors, 50Hz Skeletal Vision, and Multimodal LLMs](https://alectorlab.com/insights/fifa-2026-football-tracking-sensor-fusion-multimodal-analytics) — content updated 2026-09-21
- [The Tripartite Pitch: How Computer Vision, VLMs, and LLMs Are Modernizing Football Analytics for Elite Clubs](https://alectorlab.com/insights/the-tripartite-pitch-computer-vision-vlm-llm-football-analytics) — content updated 2026-09-18
- [How to Secure Enterprise AI Agents: Identity, Permissions and Prompt Injection](https://alectorlab.com/insights/secure-enterprise-ai-agents-identity-permissions-prompt-injection) — content updated 2026-09-17
- [GPT-6 Astra, Gemini and Qwen for Sports Analytics in 2026](https://alectorlab.com/insights/gpt-6-astra-gemini-qwen-sports-analytics-2026) — content updated 2026-09-16
- [Why 40% of Agentic AI Projects Fail (And the Durable State Architecture That Prevents It)](https://alectorlab.com/insights/why-agentic-ai-projects-fail-durable-state-architecture) — content updated 2026-09-16
- [Evaluating Frontier Agents: Task Economics and Enterprise Guardrails](https://alectorlab.com/insights/gpt-6-astra-frontier-agency-enterprise-architecture) — content updated 2026-09-16
- [Soccer Game State Reconstruction: From Video to Reviewable Pitch Coordinates](https://alectorlab.com/insights/soccer-ai-game-state-reconstruction-tactical-graphs) — content updated 2026-09-16
- [When an AI Agent Should Not Be an Agent](https://alectorlab.com/insights/when-an-ai-agent-should-not-be-an-agent) — content updated 2026-09-16
- [Production Architecture for Multimodal AI Systems](https://alectorlab.com/insights/production-architecture-for-multimodal-ai) — content updated 2026-09-16
- [Evaluating Hallucinations in Enterprise AI Systems](https://alectorlab.com/insights/evaluating-hallucinations-in-enterprise-ai-systems) — content updated 2026-09-16
- [RAG Versus Agentic Knowledge Systems](https://alectorlab.com/insights/rag-versus-agentic-knowledge-systems) — content updated 2026-09-16
- [Building Reliable Computer Vision Pipelines](https://alectorlab.com/insights/building-reliable-computer-vision-pipelines) — content updated 2026-09-16
- [3D Gaussian Splatting for Spatial Computing: Deployment Tradeoffs](https://alectorlab.com/insights/3d-gaussian-splatting-spatial-computing-enterprise) — content updated 2026-09-16
- [Vision Transformers at the Edge: How to Set and Test a Latency Budget](https://alectorlab.com/insights/sub-30ms-vision-transformers-edge-robotics) — content updated 2026-09-16