Where Kenyan Talent
Trains Tomorrow's AI
AI Speed + Human Accuracy. CoreBridge AI delivers precision data annotation and 3D LiDAR labeling powered by elite Kenyan talent and built for the world's most demanding AI teams.
Trusted by innovative tech teams worldwide
The Bridge Between
Human Intelligence & Machine Learning
Computer Vision
We convert raw imagery into machine-readable datasets using pixel-precise geometric annotation. Tight 2D bounding boxes and cuboids track moving and static objects across video frames; pixel-level masking and polygon annotation separate overlapping objects and classify environmental boundaries.
NLP & LLM Alignment
Culturally nuanced, highly literate talent bridges unstructured human language and algorithmic understanding, labeling named entities, dates, and domain-specific terminology, classifying multilingual intent and emotional nuance, and producing timestamped multi-speaker transcription.
3D LiDAR Annotation
High-precision point cloud labeling and object tracking to fuel autonomous vehicles, robotics, and spatial AI. We turn complex 3D sensor data into flawless, model-ready training pipelines.
Data Validation
Independent QA layer to verify existing datasets. Catch errors, reduce model hallucinations, and certify dataset quality before training runs.
Built for Sectors That
Can't Afford to Get It Wrong
Medical AI Data Operations
Medical Image & Radiograph Segmentation
Precision masking and pixel-level annotation of X-rays, MRIs, CT scans, and ultrasound imagery for diagnostic AI models.
Clinical Text & EHR Structuring
De-identifying (HIPAA-compliant workflows) and structuring electronic health records, medical histories, and clinical notes via specialized medical NER.
Pathology & Histology Labeling
Identifying anomalies, cellular structures, and tissue variations under strict expert oversight.
Legal AI & Contract Intelligence
Contract Component & Clause Extraction
Fine-grained labeling of clauses, liabilities, jurisdictions, and definitions in complex legal agreements, leases, and corporate filings.
Legal Taxonomy & Precedent Classification
Categorizing case law, legal briefs, and regulatory documents to power semantic search engines for legal researchers.
Smart Agriculture & Agritech
Multispectral & Satellite Imagery Annotation
Pixel-level semantic segmentation of satellite and drone imagery to map crop health, identify soil degradation, and track deforestation.
Crop Disease & Pest Detection
Bounding box and polygon annotation on high-resolution field photos to train computer vision models that catch blights and infestations early.
Yield & Biomass Forecasting Datasets
Structuring and labeling time-series agronomic data, sensor feeds, and environmental variables for predictive farming applications.
Frequently Asked Questions
We use a multi-tier QA pipeline: annotators, senior reviewers, and automated consistency checks. Every dataset ships with a quality certificate and a disagreement analysis report.
We operate under SOC 2-aligned controls and are on the ISO 27001 certification track. All annotators sign strict NDAs, work in access-controlled environments, and client data is never retained beyond project scope.
Text (NLP, NER, sentiment, classification), images (bounding boxes, segmentation, keypoints), audio (transcription, speaker diarization), video (temporal annotation), and 3D point clouds for LiDAR and spatial AI.
Discovery call to kickoff typically takes 5–7 business days. We can deploy a trained annotator team within 30 days of project confirmation for most project types.
Yes. We annotate point cloud data for autonomous vehicles, robotics, and spatial AI including 3D bounding boxes, semantic segmentation, and multi-frame object tracking. Our teams are trained specifically on LiDAR sensor data and sensor fusion workflows.
We don't guess. When our annotators encounter complex edge cases such as occluded objects in 3D LiDAR or ambiguous context in NLP — they flag them in a structured query log. These are escalated through our QA leads to your team during scheduled syncs. Over time, these edge cases are codified into updated guidelines, creating a continuously improving dataset.
Absolutely and we encourage it. We offer structured pilot programs where you can share a sample dataset and your current guidelines. This allows us to demonstrate our baseline precision, establish our feedback loop with your engineers, and prove our 98% Accuracy SLA before scaling to full production volumes.
We are entirely platform-agnostic. Our professional annotators are highly trained across major industry-standard labeling suites, but we routinely work directly within our clients' proprietary, in-house tools via secure VPN or IAM protocols. You retain full control over your data environment and tooling.
We operate as a seamless extension of your engineering team, not a detached vendor. We establish direct communication channels (via Slack, Teams, or your preferred platform) and assign a dedicated Project Manager to your account. If your annotation guidelines or model requirements pivot on a Monday, our managed team structure allows us to update our internal workflows and align our training modules by Thursday.
We offer flexible pricing models tailored to your project's predictability and scale. Depending on your needs, we provide per-task/per-annotation pricing best for highly standardized, predictable pipelines — or dedicated team pricing (hourly/monthly FTE), which is ideal for complex, iterative workflows like 3D LiDAR and computer vision tracking where requirements evolve daily. Contact us to discuss the right model for your project.
Services Built for
AI-Native Teams
Every service is delivered with a dedicated project manager, structured weekly reporting, and a contractual accuracy commitment.
Computer Vision
Pixel-precise geometric annotation that turns raw imagery into machine-readable datasets 2D bounding boxes, cuboids, masking, and polygon annotation for objects in motion or at rest.
NLP & LLM Alignment
Culturally fluent annotators labeling entities, sentiment, and multilingual intent in complex, domain-specific text and audio datasets.
3D LiDAR Annotation
High-precision point cloud labeling and object tracking for autonomous vehicles, robotics, and spatial AI delivered through autonomous-ready pipelines.
Dataset Validation
Independent QA layer to audit and certify existing training datasets before costly model runs.
Custom Workforce Build
We recruit, vet, and domain-train annotators matched to your specific industry or technical stack.
Weekly Feedback Loops
Structured reporting that converts model failure modes into annotator training modules closing the quality loop continuously.
Your Data Is
Safe With Us
SOC 2 Aligned Controls
We operate under security policies mapped to SOC 2 Type II requirements covering availability, confidentiality, and processing integrity.
Strict NDA & Access Control
All annotators sign legally binding NDAs. Data access is role-based and project-scoped no one sees data outside their assignment.
Zero Data Retention Policy
Client data is not retained beyond project completion. Secure deletion is confirmed in writing at project close.
Submit a Project Inquiry
Send us your project details and a sample dataset. We'll scope a pilot within 48 hours.
Test Our Precision.
Scale with Confidence.
Launch a risk-free pilot project with CoreBridge AI and experience our 98% Accuracy SLA and seamless human-in-the-loop workflows firsthand.
No Long Contract.
Just Proof.
Zero-Risk Quality Check
Send us a sample dataset and your current annotation guidelines. We deliver a high-precision proof-of-concept to prove our capabilities before you commit to a larger contract.
Test the Pipeline
See how seamlessly our managed team in Kenya integrates into your internal labeling tools, Slack channels, and MLOps feedback loops.
Clear Data Diagnostics
We don't just return labeled data we provide an edge-case log highlighting ambiguities in your current guidelines to help refine your training pipeline.
The 3-Step Pilot Process
Scope & Secure
Share your project requirements and dataset parameters under strict, automatic non-disclosure terms.
Calibration Sync
Our leadership and project managers sync with your team to review guidelines and align on edge-case protocols.
Delivery & Review
We return your production-ready, annotated dataset alongside our quality metrics for your team's evaluation.
Start Your Pilot
Three quick fields. No long-term commitment required.
The CoreBridge
Approach
We've built a proprietary system that makes the "human" in Human-in-the-Loop a competitive advantage, not a bottleneck.
Discovery & Scoping
We start with a deep project brief understanding your model architecture, failure modes, and quality requirements. We define accuracy thresholds, turnaround benchmarks, and security protocols before a single label is applied.
Team Recruitment & Domain Training
We recruit annotators from Kenya's growing tech talent pool prioritizing youth and underrepresented communities. Each project team receives a custom training curriculum built from your model's specific requirements and past failure modes.
Multi-Tier QA Pipeline
Every task passes through annotator → senior reviewer → automated consistency check. Disagreements trigger mandatory consensus sessions. Our QA system surfaces systematic annotation errors before they compound into dataset-level problems.
Weekly Feedback Loop
Our proprietary reporting cadence converts your model's technical failure signals into structured annotator training modules. What your model gets wrong on Monday becomes a training session by Thursday closing the loop faster than any other vendor.
Delivery & Certification
Datasets are delivered 20% faster than industry average via our optimized project management workflow. Every deliverable includes a quality certificate, disagreement analysis, and annotator confidence distribution report.
What CoreBridge Stands For
SLA-backed accuracy commitments. If we miss the target, you don't pay for rework.
We function as an extension of your ML team not a vendor. Your project manager has direct access to your lead engineer.
We refuse to treat annotation as a commodity. Every label is a training signal. We treat it that way.
Built in Kenya.
Built for the World.
CoreBridge AI was born from a simple conviction: that Kenya's growing pool of educated, English-fluent, technically capable youth deserved a place inside the global AI economy not on the margins of it.
The global AI industry consumes billions of human-labeled data points. Most annotation work is outsourced to crowdsourcing platforms where quality is inconsistent and workers are invisible. We built a different model.
CoreBridge operates as a high-accountability partnership firm. Our annotators are named professionals, not anonymous crowd workers. They receive structured training, fair compensation, and a career pathway in AI. In return, our clients receive something rare: a data partner they can actually trust with their model's development.
We are intentionally Kenyan-built and globally-minded. We're proud to be creating AI-ready digital careers in Nairobi, and we're equally proud to deliver datasets that power frontier AI products worldwide.
Meet the Leadership Team
The people accountable for every dataset, every client, and every annotator we train.
Calvin Mulima
Calvin founded CoreBridge AI on the conviction that Kenya's technical talent deserves a seat inside the global AI economy. He leads client partnerships, operations strategy, and the company's growth across North American and European markets.
Juma Mariekhe
10+ years of enterprise project management, specializing in scaling operational frameworks and driving large-scale AI data strategies.
Carolyne Maina
4+ years of successful project delivery, combining sharp operational execution with a deeply client-centric approach to partnerships.
Paulson
Deeply experienced in enterprise ICT systems and infrastructure, with a steadfast focus on information security, data compliance, and technical excellence.
Privacy & Terms
Privacy Policy
CoreBridge AI collects only the data necessary to deliver our services. Client data is never shared with third parties, retained beyond project completion, or used to train internal models. We are GDPR-aware and operate under data minimization principles.
Personal data submitted via our inquiry or careers forms is stored securely and used solely for communication purposes. You may request deletion at any time.
Terms of Service
All engagements are governed by a Master Services Agreement (MSA) signed prior to project kickoff. The MSA covers intellectual property ownership (client retains all rights to annotated data), accuracy SLAs, confidentiality obligations, and dispute resolution.
CoreBridge AI does not claim ownership of any dataset, model, or derivative work produced under client contract.
Build Your Career
Inside AI
We're looking for Kenya's sharpest minds — detail-oriented, curious, and ready to do work that shapes how AI thinks.
AI-Ready Skills
Every annotator leaves CoreBridge with real, marketable skills in machine learning data pipelines.
Fair Compensation
Competitive pay benchmarked to Nairobi market rates, with performance-based progression.
Global Work, Local Base
Work on datasets for frontier AI companies from your laptop, in Kenya.
Grow Into Leadership
Clear pathway from annotator → senior reviewer → QA lead → project manager.
Current Openings
Data Annotator — NLP
Full-time · Remote · NairobiData Annotator — Computer Vision
Full-time · Remote · NairobiSenior QA Reviewer
Full-time · Hybrid · Nairobi3D LiDAR Annotation Specialist
Contract · Remote · Any LocationProject Coordinator
Full-time · On-site · NairobiSubmit Your Application
Fill in the form below — our recruiting team reviews every submission within 5 business days.
Start a Project
with CoreBridge
Submit your project inquiry below. Attach a sample dataset if available, we'll scope a pilot and respond within 48 hours.
