People bring perspective.
Context, judgment, and domain understanding give data meaning. We keep human expertise at the center of the work.
The People Behind The Precision
Better data.
Better AI.
Human at heart.
Behind every intelligent model is a human perspective. We bring the expertise, care, and precision that turn raw data into real possibility.
01 / ENGAI CONNECTING PEOPLE & INTELLIGENCE
Engai AI Perception & Video Intelligence
Human Expertise · Machine PotentialAI is only as good
as the human expertise behind it.
Real-World Sensor & Video Streams
Trusted by leading brands
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01 — OUR STORY
Intelligence starts
with understanding.
A label is more than a box around an object. It’s a decision about what matters.
Engai began with a simple belief: AI is only as good as the data it’s trained on. That belief shapes how we work—from understanding your first sample to reviewing the final delivery.
We connect human judgment with technical workflows to help AI teams build dependable data foundations. Across images, language, and the physical world, our focus stays the same: meaningful context, consistent quality, and a partnership that grows with your ambitions.
Discover what we doOUR MISSION
Build the foundations.
Enable the extraordinary.
To empower safe, capable artificial intelligence with high-quality data and thoughtful human expertise.
PRECISION WITH PURPOSE
02 — WHAT WE DO
Real-world complexity.
Human-powered clarity.
From the first data point to the next generation of models, we help you move forward with confidence.
01
Computer vision
Image and video annotation that helps models make sense of the real world.
IMAGES / VIDEO / SEGMENTATION
02
Spatial intelligence
Detailed 3D point clouds and geospatial data for systems that navigate our world.
LIDAR / 3D / GEOSPATIAL
03
Language & audio
Context-rich text and speech data, with the nuance only people can bring.
SPEECH / TEXT / TRANSCRIPTION
04
Generative AI
Curated datasets and human feedback to build more useful, capable models.
CURATION / EVALUATION / FINE-TUNING
03 — HOW WE WORK
A clear process.
At every step.
Great datasets don’t happen by accident. They’re built through alignment, careful review, and an open feedback loop.
Consult
01 / STRATEGY & ALIGNMENTDefine the right foundation.
We understand your use case, explore your data, and align on the scope, quality standards, and delivery goals.
A clear plan, built around your needsDevelop
CurateLabelModel02 / DATA & DEVELOPMENTTurn data into capability.
Curated datasets, precise annotation, and human review give your model a consistent foundation for development and evaluation.
Quality reviewed at every stage- Security
MonitoringAnomaly
DetectionApply
Edge (On-device)03 / DELIVERY & IMPROVEMENTMake it work in your world.
Receive data in your agreed format, connect it to your workflow, and use feedback from real applications to guide the next iteration.
Ready for your next step
Feedback connects every stage.Talk through your project
04 — WHAT GUIDES US
Our standards.
Your foundation.
Technology evolves. Our commitment to the people and details behind it stays constant.
Quality is a practice.
Clear criteria, multi-stage reviews, and careful validation make quality part of the process, not just a final check.
Scale with intention.
We structure work around your priorities, balancing delivery speed with the consistency your models need.
CURIOUS MINDS. SHARED PURPOSE.
There’s a human story behind better AI.
Bring your perspective to the work shaping what comes next.
05 — MEET THE TEAM
Great data starts
with great people.
Demo profiles
A shared commitment to precision. Different perspectives, working together to make AI better.
Akramul Gazi
Co-founder & Strategy
Connecting ambitious AI projects with a clear data strategy.
Maya Sen
Head of Data Operations
Turning complex requirements into consistent delivery.
Daniel Brooks
Lead AI Engineer
Building the workflows that connect people, data, and models.
Sara Chen
Quality & Delivery Lead
Bringing a careful eye to every detail and every dataset.
Demo preview: these names, roles, and AI-generated portraits are illustrative, not actual Engai employees.
Find your place here06 — A LITTLE MORE ABOUT US
Good questions.
Clear answers.
Have something else in mind?
Talk to our teamWhat does Engai do?
Engai provides human-verified data annotation, collection, curation, and model-support services. We help AI teams turn raw images, video, audio, text, and spatial data into structured training and evaluation datasets.
How do you approach data quality?
Quality starts with clear guidelines and a calibrated pilot. Annotation is followed by multi-stage review, validation against agreed criteria, and feedback on ambiguous cases. The exact checks and acceptance criteria are scoped to your project.
Can you work with our existing tools and formats?
We start by reviewing your annotation environment, data types, and required export formats. Tooling and delivery requirements are agreed during scoping so the resulting dataset fits your workflow.
How are timelines and pricing determined?
Scope depends on data volume, annotation complexity, domain expertise, review requirements, and delivery cadence. Share a representative sample and your goals with our team so we can discuss a suitable pilot and estimate.
How can we discuss a sensitive dataset?
Contact our team before sending any sensitive data. We can discuss confidentiality, access requirements, approved transfer methods, and your project’s security needs during the initial conversation.
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Discover how Engai's Data Pipeline and AI Infrastructure platform can make your organization AI-ready:
Automatically discover and map all datasets with contextualized inventory
Effortlessly manage ML lifecycle and address governance gaps
Drastically reduce deployment time by mitigating edge-case risks
Immediately detect and respond to model drift to minimize threat impact
Proactively apply zero-trust protection mechanisms for proprietary data
Live Infrastructure Telemetry
1.2BData Points
189Models
24Pipelines
3Alerts
TypeOriginOwnerStatus
Vision ModelGitHubDave DigsterHealthy
DatasetAWS S3Emily ThompsonSyncing
DeploymentGCPRobert BrownActive
Zero-Trust Dataset Confidentiality
Your requirements and proprietary sample assets are encrypted in transit and never used for public model training.