Skilled AI agents. Ready in days, not months.
Savari provides degree-qualified AI Data Agents and Quality Analysts for early and mid-stage AI companies that need human intelligence at the right cost — to annotate, evaluate, improve and validate their models.
Book a 20-minute callQuality, speed and cost. You shouldn't have to choose.
To have a team operational
Not weeks of recruiting. Not months of hiring. A trained team online and working within a week of agreement.
Lower cost than US or UK annotators
Degree-qualified Kenyan graduates working to the same quality standards — at a fraction of Western market rates.
Degree-educated workforce
Every agent is university-educated and Academy-trained. You get educated human judgement — not basic data entry.
Every task from raw data to model-ready output.
Building your training datasets
- Text classification and intent labelling
- Image and video annotation
- Named entity recognition tagging
- Sentiment and tone labelling
- Bounding boxes, segmentation, keypoints
- Audio transcription and labelling
Making your model learn the right things
- Response comparison and preference ranking
- Output quality rating against defined rubrics
- Helpfulness, harmlessness and honesty evaluation
- Conversation flow assessment
- Edge case identification and flagging
- Feedback consistency across annotator pools
Checking your model against the real world
- Output quality assessment against test sets
- Red-teaming and adversarial testing
- Bias detection and fairness review
- Factual accuracy checks
- Multi-turn conversation evaluation
- Regression testing after model updates
The inputs that shape your model's behaviour
- Prompt creation and variation generation
- Prompt quality and consistency review
- Dataset auditing and deduplication
- Data cleaning and format standardisation
- Search relevance and ranking judgement
- Content classification for safety filters
Building a domain-specific model? We recruit for it.
General annotators handle general models. Domain-specific models need domain-educated annotators. Savari sources graduates matched to your subject area.
Legal AI
Law graduates annotating contract language, case summaries and legal documents.
Finance AI
Accounting and economics graduates evaluating financial analysis, reports and data.
Healthcare AI
Appropriately qualified graduates for medical content classification and evaluation.
Engineering AI
Engineering graduates annotating technical documentation, schematics and specifications.
Education AI
Subject-specialist graduates evaluating educational content accuracy and clarity.
Language & NLP
Linguistics graduates for nuanced language tasks — idiom, tone, dialect, ambiguity.
Pilot in two weeks. Scale from there.
Scoping call
We understand your task type, volume, quality requirements and timeline. Usually 45 minutes.
Pilot team
A small team is selected, briefed and trained on your annotation guidelines. Pilot batch delivered within 2 weeks.
Quality review
You review the pilot output. We calibrate based on your feedback before full production begins.
One rate. No employment overhead.
Building an annotation team in-house — or in a Western market — means carrying employment costs on top of already-expensive salaries. Savari gives you a fully managed team at a single agreed rate.
You pay one agreed rate. Everything above sits with us.
The companies that win in AI aren't always the ones with the best model architecture. They're the ones with the cleanest data and the most rigorous evaluation.
That's what Savari agents help you build.Questions worth asking first
What makes Savari agents different from a crowdsourcing platform?
Degree-qualified, Academy-trained agents working to consistent standards under quality oversight — not anonymous crowd workers with no accountability. The difference shows in consistency and inter-annotator agreement.
Can you work with our annotation guidelines?
Yes — your guidelines are the starting point. We train agents to your rubric, not our own defaults. If your guidelines need development, we can help build them.
How do you handle inter-annotator agreement?
Agreement is measured on every project. Where disagreement exceeds your threshold, we flag the cases for adjudication and use them to calibrate the team.
Can you handle sensitive or safety-critical content?
Yes — with appropriate protocols for content that requires careful handling, including wellbeing support for agents and clear escalation procedures.
What annotation tools do you work with?
Most major platforms — Label Studio, Scale, Labelbox, Prodigy, Argilla and others. We can also work in custom tooling where access is provided.
Can you scale quickly if our volume increases?
Yes — scaling from a pilot team to production volume is something we plan for during scoping. Additional agents can be onboarded and calibrated within 1–2 weeks.
Do you sign NDAs?
Yes — data handling agreements, NDAs and IP protection are standard. Your data and your model stay yours.
Can you run RLHF projects for LLMs?
Yes — preference ranking, response comparison and quality rating for LLM training are among our most common AI projects.
Ready to build your AI data team?
Tell us your task type, volume and quality requirements. We'll scope a pilot and tell you what it costs.