Built for Ai Teams

Annotect was founded because growing AI companies faced a broken choice:

pay enterprise prices for Scale AI, gamble on anonymous crowd workers, or try to build annotation capacity in-house. None of these worked for startups that needed quality data without enterprise budgets.

We have a team that manages annotation with documented quality processes, Canadian incorporation for enterprise trust, and pricing that respects startup economics.

faq-img

Our Mission: To make high-quality AI training data accessible to every AI team, not just those with enterprise budgets.

If we can't score it, we can't guarantee it. Every project ships with IAA metrics. Annotect reports Cohen’s Kappa or Krippendorff’s Alpha alongside delivery,

We show our methodology upfront. No black-box annotation. Before a single label is placed, clients receive our annotation guidelines, calibration results, and QA methodology in writing. You’ll know exactly how your data is being handled.

We prove quality before asking for commitment. Every engagement starts with a fixed-scope pilot – typically 200-500 items – so you can validate our quality against your benchmarks before scaling. No long-term contracts, no minimum volumes. Just data you can trust.

Dedicated annotators who know your data, not anonymous workers on rotation. We don’t route your tasks to anonymous marketplace workers. Our annotators are trained specifically on your schema, kept consistent project-to-project, and tracked individually by quality metrics. Consistency is a feature, not an accident.”

NLP Labeling & LLM Tuning brust-pucker
Quality Management Systems brust-pucker
AI Content Evaluation brust-pucker
Audio Sentiment Annotation brust-pucker
KPI Dashboards & Reporting brust-pucker
Supervised & Unsupervised Annotation brust-pucker
Meet Our Founders

Meet Our Founders

Architecting the future of AI training frameworks and enterprise data operations.

Clinton Okere

Co-Founder & Chief Annotation Officer

Multilingual AI Trainer · NLP Specialist · LLM Evaluator

With 3+ years of hands-on data annotation experience across TransPerfect, Mindrift, SuperAnnotate, and Snorkel AI, Clinton leads our annotation quality and AI training pipelines. Fluent in English and professional French, he specializes in NLP labeling, LLM fine-tuning, prompt engineering, and multilingual dataset evaluation — ensuring every data asset we deliver meets the highest linguistic and technical standards.

Core Expertise

NLP Labeling & LLM Tuning AI Content Evaluation Prompt Engineering Search Intent Analysis Audio Sentiment Annotation Supervised & Unsupervised Annotation Multilingual (EN / FR) Quality Rubric Design

Credentials & Experience

  • Certificate in Data Analytics BrainStation (2025)
  • BEng Process Engineering + Minor Applied Linguistics Honors
  • Generative AI Specialist TransPerfect (2025)
  • Content Evaluator Mindrift (Apr 2024 – Nov 2025)
  • Data Annotator SuperAnnotate & Snorkel AI (2022 – 2024)

Ademola (Ade) Apata

Co-Founder & Chief Operations Officer

PMP · Lean Six Sigma · Data Analytics · Program Delivery

Ade brings 7+ years of program management expertise from the defense and aerospace sectors, paired with formal training in data and predictive analytics. As COO, he architects our quality frameworks, operational workflows, and client delivery standards — applying Lean Six Sigma and ISO 9001 principles to ensure our annotation pipelines are scalable, precise, and audit-ready for enterprise clients.

Core Expertise

Quality Management Systems ISO 9001 & Process Compliance Data & Predictive Analytics Lean Six Sigma / DMAIC Earned Value Management Risk Management & FMEA KPI Dashboards & Reporting Multi-stakeholder Coordination

Credentials & Experience

  • PMP Project Management Institute (2020)
  • Lean Six Sigma Green Belt SSGI (2019)
  • Certificate in Data & Predictive Analytics TMU
  • MEng Industrial Engineering Concordia University
  • BASc Chemical Engineering & Finance University of Ottawa
  • P.Eng. Licensure In Progress (PEO CBA)