Case studies

How we build, measured at every step.

Representative and anonymized engagements — the company is rebuilding, so we show our methods honestly rather than borrow logos we can't claim. Client names are withheld; the challenges, services, QA gates and outcome metrics reflect our real, defensible quality bar. Each study links to the exact services and datasets behind it — see engagement models & pricing to scope your own.

Client engagements run under NDA, so the stories below are anonymised, or shown as representative and illustrative scenarios — each one mirrors the real methodology, quality bar and deliverables we run in production. Every figure is the standard we hold ourselves to, clearly labelled for what it is.

Industry: Modality: Reset

Enterprise GenAI Illustrative

Low-resource speech corpus collection (100 hours, 90 days)

100 hrs delivered · WER 6.2%

A field-collection program for three low-resource Indic languages with no existing corpus — consented, transcribed and WER-checked in 90 days.

By Cognegica Linguistics Team
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Foundation Model Labs Anonymised

Multilingual safety-eval for a frontier AI lab

11 harm categories · IAA 0.86

A native-speaker red-team and safety-evaluation set across ten Indic languages that surfaced harms the lab's English-only guardrails missed.

By Cognegica Data Operations
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Robotics & Embodied AI Illustrative

Physical AI data foundations: extending collection and QA into multimodal data

Forward-looking · built on documented foundations

A forward-looking capability: extending Cognegica's documented collection, annotation and QA foundations into multimodal, sensor and embodied data for Physical AI.

By Cognegica Data Operations
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Government & Public Sector Illustrative

Data sovereignty: consented, resident, provenance-tracked collection

Data residency · consent · provenance

A sovereignty-first collection and annotation program for a regulated context — data residency, informed consent and provenance tracked per record, end to end.

By Cognegica Linguistics Team
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Enterprise GenAI Illustrative

Building a proprietary low-resource Indian language dataset

Proprietary · rights-cleared · low-resource

A proprietary, rights-cleared dataset built from the registry's low-resource Indian languages — collected, transcribed and QA-reviewed where no usable corpus existed.

By Cognegica Linguistics Team
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Foundation Model Labs Illustrative

Generative-AI data: RLHF, adversarial prompts and toxicity-safety annotation

RLHF · adversarial prompts · safety annotation

Prompt–response dataset creation with adversarial prompt engineering, human-in-the-loop RLHF for model alignment, and toxicity detection with safety-focused annotation.

By Cognegica Data Operations
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Enterprise GenAI Illustrative

Transcription QA and linguistic review of human and AI output

Native-linguist review · guideline-compliant

Native-speaker linguistic review for quality control — guideline compliance, error correction, and evaluation of both human and AI-generated transcription output.

By Cognegica Quality & Standards
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Speech AI Illustrative

High-accuracy transcription with diarization across scripts

Timestamped · diarized · UTF-8 standardized

Human transcription with timestamping, segmentation and speaker diarization across multiple scripts, delivered to consistent formatting standards (UTF-8, standardized punctuation, project annotation tags).

By Cognegica Quality & Standards
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Multimodal AI Illustrative

Video collection for gesture, facial and conversational AI

Diverse environments · balanced participants

A consented video-collection program for gesture, facial, conversational and behavioural AI — captured across diverse environments and a balanced participant pool.

By Cognegica Data Operations
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Speech AI Illustrative

Large-scale multilingual audio collection with demographic and environment balance

Scripted + spontaneous speech · demographic-balanced

A native-speaker speech-collection program balanced across age, gender, regional accent and recording environment, capturing scripted and spontaneous speech with full metadata per record.

By Cognegica Data Operations
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Government & Public Sector Illustrative

Sovereign government language program

India-resident · consented · auditable

An India-resident, vernacular-first collection and annotation program for citizen-service AI — sovereign, consented and auditable end to end.

By Cognegica Linguistics Team
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Robotics & Embodied AI Illustrative

Physical AI data-annotation engagement for a robotics team

3D box & pose IAA ≥ 0.85

A spatial-annotation SERVICE engagement: 3D boxes, point-cloud segmentation and 6-DoF pose on multi-sensor capture the team already had.

By Cognegica Quality & Standards
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Foundation Model Labs Anonymised

RLHF / preference-data program for Indic alignment

~2,000 preference pairs · IAA ≥ 0.85

A native-speaker preference / DPO data program calibrated for honorifics, formality and cultural fit — with a documented eval set to measure cultural-reasoning lift.

By Cognegica Data Operations
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Legal Anonymised

Indic legal annotation for a legal-AI product

Clause & entity IAA 0.89

Expert clause-typing and entity annotation across multilingual Indian judgments and contracts for a legal-AI product that couldn't hallucinate.

By Cognegica Quality & Standards
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