AI DEVELOPMENT · RESEARCH · DATA
We collect and prepare data for AI in any language, and develop and research the systems built around it. From text and speech to expert knowledge, we turn your requirements into a clearly scoped project
BASED IN THE UNITED STATESBUILT FOR GLOBAL COLLABORATION
FROM RAW MATERIAL TO AI DATA
Text, speech, audio and video
in any language
Transcription, labeling and review
against your requirements
Documented datasets for your
AI training and evaluation workflow
YOUR BRIEF → AGREED SCOPE → REVIEWED DELIVERY
01 / OUR EXPERTISE
We develop AI applications, evaluate models and prepare training data for teams building intelligent products
We build AI applications and integrate language models into your products, tools and workflows, from an initial prototype to a working solution
Explore what a model can do, where it falls short and what evidence is needed to move a promising idea forward
Collect, source and prepare AI training and evaluation data in any language, with formats, quality requirements and usage rights tailored to each project
02 / DATA WITH CONTEXT
We collect and prepare text, speech and audiovisual data in any language. Your use case, subject matter and target audience guide how we source, annotate and review each dataset
Speech data collection and recording coordination in any language, including human-reviewed transcripts, language and accent requirements, and speaker-level metadata
Clear tasks. Reasoned solutions.
Explicit evaluation criteria
Scope scientific, technical and industry-specific tasks, reference answers, annotation guidelines and model-response evaluation. Contributor qualifications are assessed against the brief
Identify relevant archives with their owners and assess provenance, technical characteristics, permissions and licensing options before proposing specific materials
FROM REQUIREMENTS TO A REVIEWABLE PACKAGE
Data collection in any language, with regional variants, accents and specialist terminology matched to your brief. We assess suitable sources and contributors for each project
Agree on formats, segmentation, transcript review, metadata and acceptance criteria. Validate an authorized sample before planning a larger delivery
Review provenance, permissions and licensing scope for the intended training, evaluation or speech application. Voice cloning requires specific permission
Availability, contributors, volumes and timelines are confirmed per project
03 / HOW WE WORK
We start with the work you actually need. Each next step follows an agreed scope and a practical assessment of what is possible
Share the use case, technical specification, languages, intended rights, volume and timeline
Check feasibility, source availability, contributor fit and the requirements for quality and permissions
Agree on a prototype, authorized sample or pilot and review it against explicit acceptance criteria
Execute the agreed project with review checkpoints, documented outputs and a clear handover
ABOUT AVENRIDGE
Avenridge, Inc. is a US-registered company focused on AI development, applied research and data projects
We bring a project-first approach to collaboration with model developers, research teams and data buyers: understand the brief, assess the resources and organize the agreed work
PROJECT QUESTIONS
We scope projects involving text, speech, audio, video and domain-specific knowledge. Work can include custom data collection, transcription, data annotation, reference answers and human evaluation for machine learning and language models
Yes. We consider data collection and annotation projects in any language, including regional variants and specialist terminology. We assess suitable sources and contributors, then confirm availability, quality requirements and timelines for your brief
We agree on formats, review criteria and intended uses before delivery. For sourced materials, provenance and licensing scope are reviewed with the rights holder. A sample or pilot can be agreed to validate the approach before a larger project
04 / START A CONVERSATION
Send us your brief, a research question or a data requirement. We’ll review the fit and discuss a practical next step