AI Data ServicesRLHFData AnnotationPrompt Engineering
Fixus Ventures delivers reinforcement learning with human feedback, large-scale data annotation, prompt engineering, and human data collection across video, audio, text, and regional languages, with accuracy, diversity, and secure handling at enterprise scale.
Services
From alignment data through to evaluation, scoped to your requirement and delivered to your schema.
Reinforcement learning with human feedback: preference data, response scoring and rubric-based judgement that align models to human expectations.
Large-scale labelling across video, audio, text, image and document data, delivered to your schema at the accuracy your training pipeline requires.
Prompt sets, adversarial variants and instruction data authored to exercise the exact behaviour you are trying to train or measure.
Purpose-built datasets captured to specification across video, audio and text, in the contexts and conditions your model will actually meet.
Native-language data across major and regional languages, covering the accents, dialects and code-switching that general corpora miss.
Structured human evaluation of model and agent behaviour, measured against real-world expectations rather than proxy benchmarks.
Data quality
Quality is enforced inside the workflow rather than inspected at the end, and reported against on every delivery.
Every item passes automated validation and layered human review before it reaches you.
Datasets are composed to reflect real-world variation across language, region, context and background, rather than a single narrow population.
Programmes scale from a calibration batch to sustained production volume without changing the quality bar.
Agreed throughput and agreement targets, reported per batch, with the same standard applied every cycle.
Gold-standard checks, consensus scoring and outlier detection run continuously inside the workflow.
A named delivery lead, scheduled batches and a quality report attached to every hand-off.
Quality controls in every programme
Data security & privacy
Confidentiality, access control and responsible handling are designed into the workflow, agreed before delivery starts rather than negotiated afterwards.
Built to enterprise security requirements. We do not claim third-party certifications we have not obtained. If a specific standard is a procurement requirement, raise it early and we will be straight about where we stand.
Confidentiality terms and NDAs are agreed before any data changes hands.
Your identity, your prompts and your project details are treated as confidential by default.
Defined procedures govern how data is transferred, stored, processed and destroyed.
Least-privilege, role-based access scoped to a single project and revoked on completion.
Consent, provenance and lawful basis are established at the point of collection.
Sensitive programmes run in restricted environments with need-to-know staffing.
Task, review and delivery events are attributable and traceable end to end.
Storage and processing locations are agreed per engagement, ahead of delivery.
Process
One pipeline, instrumented end to end, so you always know where a dataset is and what its quality looks like.
We start from the capability gap, the target modality and what a correct item looks like.
Task design, rubric and schema are authored with your team, then calibrated on a gold set.
Production runs with validation and layered review built in, not appended at the end.
Schema-consistent data arrives on schedule with a quality report attached to every batch.
Tooling
Quality starts with the tool. Each task runs on a surface designed for that job rather than a generic form, with validation, playback and flagging built into the interface itself.
Transcription, labelling and word-level alignment against a waveform, with quality and flag capture built into the surface.
Pairwise comparison, per-axis rubric scoring and written justification, structured so every label stays auditable.
Annotation, validation and native-speaker review across text and regional language data.
Where your task does not fit an existing surface, we build one around it: your task definition, your rubric, your schema, your acceptance criteria.
Describe your workflowApplications
SFT, preference data and human feedback
Multilingual audio, accents and dialogue
Frame and clip level annotation
Human evaluation of agent behaviour
Relevance scoring and preference signals
Content review and adversarial testing
Extraction, understanding and validation
Specialist data for regulated fields
Global presence
Delivery, partnerships and client work span multiple regions, so there is overlap with your working day wherever your team sits, and datasets draw on genuinely broad geographic and linguistic coverage.
Netherlands
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Working hours shown as active between 09:00 and 19:00 local.
Questions
Human data services for AI teams: RLHF and human feedback, large-scale data annotation, prompt engineering, human data collection and structured model evaluation, across video, audio, text and regional languages. Output is delivered as schema-consistent datasets and evaluation signals, in the format your training or evaluation pipeline expects.
About
Fixus Ventures is an AI data services company. We build the human data that models learn from and are measured against, produced to specification, validated at every step, and handled securely.
Mission
Make high-quality human data accessible to every team building AI.
Vision
A world where every AI system is trained and evaluated on data that reflects the real world.
Get started
Share your requirement and we will come back with a workflow design, a quality plan and an honest view of what is feasible.
Contact
Tell us what you are building and we will come back with a workflow design, a quality plan and an honest view of what is feasible.