AI Labs

Data that does not exist on the internet. Acquired, governed, delivered.

Foundation model teams have exhausted what can be scraped. AdwumaTech runs field acquisition, post-training data programs, annotation, and independent evaluation, with a consent and provenance chain built to survive regulatory review.

ISO 27001 Certified · GDPR Article 9 Workflows · Open Datasets on Hugging Face

The Constraint

Capabilitynowdependsondatathathastobecreated.

The public web has been consumed. The data that moves a model forward from here exists in no corpus. It has to be commissioned: elicited from experts, captured from people under documented consent, recorded in languages the internet never indexed. That work is field operations with a legal spine attached, and it runs on infrastructure most teams have no reason to have built.

The remaining data has to be commissioned

Expert reasoning, novel modalities, human subjects under consent, and languages with no meaningful web presence. Each one is a collection program with a defined population, a capture specification, and a consent regime.

Provenance is a balance sheet item

Training data with an undocumented chain of custody is an exposure. Regulators and litigants ask where a dataset came from, who consented, under what terms, and whether withdrawal was honored. The answer has to be on file before the question arrives.

Evaluation holds only when it is separate

Evidence about a model's capability and safety carries weight when the people producing it sit outside the training loop, work to their own rubrics, and hold no stake in the result.

Capability

Fourprogramsforfoundationmodelteams.

Data acquisition

Commissioned collection of data that exists in no corpus. Human subject collection under recorded consent, speech and multimodal capture, document and identity data, and domain expert elicitation. Programs run through supervised in-person capture where fraud risk is material, and through diaspora channels where in-country collection is legally constrained. Every program ships with a consent artifact per contributor, versioned and withdrawable, and a provenance record mapping every unit to its collection event.

Explore data acquisition
Post-training data

RLHF preference data, chain-of-thought and reasoning traces, and multi-path decomposition annotated by domain-matched specialists. Code programs are staffed by engineers with production experience, working at line level on correctness, security, efficiency, and architecture. Reasoning programs are staffed against the subject matter, across mathematics, scientific reasoning, legal analysis, financial modeling, and engineering.

Explore post-training data
Annotation programs

Supervised labeling, classification, transcription, segmentation, and preference ranking across text, speech, image, and video. Every program runs under a written rubric, calibration against expert consensus before live work, multi-tier review with senior adjudication on high-stakes tasks, and inter-rater reliability reported per batch with corrective protocols when metrics deviate.

Explore data annotation
Evaluation and red teaming

Capability evaluation, safety testing, and adversarial assessment run as a separate program under separate staffing. Structured rubrics, documented evaluator credentials, and reproducible protocols. Available to teams that use AdwumaTech for no other work.

Governance

Thepartthatdetermineswhetherthedataisusable.

Collection is the visible half of a data program. The half that determines whether a dataset survives scrutiny is the record underneath it. AdwumaTech operates this layer as infrastructure, and it transfers to the client with the data.

Consent architecture

Recorded, versioned, withdrawable consent per contributor. Withdrawal propagates to deletion across storage and delivered artifacts. Consent language is reviewed against the governing jurisdiction before capture begins.

Jurisdictional coverage

Programs are scoped against the applicable regime before the first unit is collected. Article 9 special-category workflows, data protection impact assessments, EU representative arrangements, standard contractual clauses for cross-border transfer, and controller registration where mandatory.

Data rights and exclusivity

Commissioned data is delivered exclusively to the commissioning client. AdwumaTech does not resell, relicense, or reuse client-commissioned datasets for other engagements or for its own model work. Rights, retention periods, and destruction terms are fixed in the scope document before collection begins.

Fraud and integrity controls

Deduplication across contributors and accounts, capture-time quality enforcement, one-account-per-person verification, and supervised capture where the collection type invites fraud. Yield and rejection reasons are reported per batch.

Delivery and audit trail

Encrypted delivery with provenance documentation, contributor consent references, rubric versions, calibration scores, reliability metrics, and adjudication records. The audit trail ships as part of the deliverable.

How Programs Run

Scoped,calibrated,thenscaled.

Step 1. Written scope.

Task definition, collection or annotation taxonomy, quality thresholds, jurisdictional analysis, data rights, and acceptance criteria agreed in writing before work begins.

Step 2. Legal groundwork.

Consent artifacts, impact assessments, transfer mechanisms, and registrations completed and filed. Collection starts after the paperwork is complete.

Step 3. Calibration batch.

A bounded first batch runs through your QA before any volume commitment, reporting yield, rejection reasons, and reliability metrics. Programs that miss threshold are reworked at the specification level.

Step 4. Production.

Scaled delivery on agreed cadence with per-batch reporting, threshold enforcement, and corrective protocols when metrics deviate.

Step 5. Handover.

Provenance package, consent records, and quality documentation delivered with the dataset.

Position

Residentoperationsandapublishedcollectionrecord.

Field collection is a demonstrated capability

mGhana-ST and UGSpeechData are commissioned speech corpora collected under consent and published openly on Hugging Face. They have surpassed 15,000 downloads since being open sourced, used by teams with no commercial relationship to AdwumaTech. The methodology is open to inspection before you commission anything.

Engineering capacity is in-house

Thirty engineers operating from a dedicated facility in Accra build and run the collection, review, and delivery systems behind every program. Tooling is built to the program specification instead of forced onto a generic platform.

Certified information security

ISO 27001 certified information security management system. AES-256 at rest, TLS 1.3 in transit, role-based access control, comprehensive audit logging, NDA-governed engagement from initial scoping.

Institutional linguistic capacity

Active memoranda with the University of Ghana and Valley View University anchor native-speaker capacity across Twi, Ewe, Ga, Dagbani, Hausa, and Yoruba, with extension into additional language groups on program demand.

Engagement Models

Fourstructures.

Embedded teams

Dedicated specialists on your guidelines, your platform, your cadence. For ongoing programs where institutional knowledge compounds.

Program engagements

Defined scope, deliverables, timelines, and quality SLAs. For training milestones, capability expansion, and commissioned dataset creation.

Field acquisition programs

Commissioned collection with coordinator networks, consent infrastructure, and jurisdictional groundwork. Scoped per country and per modality.

Independent evaluation

Capability evaluation, safety testing, and red teaming delivered under separate staffing from any annotation or training data work.

Frequently Asked Questions

CommonQuestions

AdwumaTech AI runs four data programs for foundation model teams: commissioned data acquisition, including human subject collection under documented consent; post-training data covering RLHF preference data and chain-of-thought reasoning traces; annotation across text, speech, image, and video; and independent capability and safety evaluation. All four operate on a governance layer covering consent, provenance, jurisdictional compliance, data rights, and audit trail.
AdwumaTech AI commissions original collection for languages the public web does not cover. Native-speaker capacity spans Twi, Ewe, Ga, Dagbani, Hausa, and Yoruba, anchored by active memoranda with the University of Ghana and Valley View University, with additional language groups scoped per program. The published corpora mGhana-ST and UGSpeechData demonstrate the collection and annotation standard.
AdwumaTech AI runs commissioned field collection. Programs use supervised in-person capture with local coordinators where fraud risk is material, and diaspora collection channels where in-country operations are legally constrained. Every contributor produces a recorded, versioned consent artifact, and every delivered unit maps to a documented collection event with its capture conditions attached.
AdwumaTech AI provides annotation across text, speech, image, and video, covering labeling, classification, transcription, segmentation, and preference ranking. Every program runs under a written rubric with calibration against expert consensus before live work begins, multi-tier review with senior adjudication on high-stakes tasks, and inter-rater reliability reported per batch with corrective protocols when metrics deviate from threshold.
Data commissioned from AdwumaTech AI is delivered exclusively to the commissioning client. AdwumaTech AI does not resell, relicense, or reuse client-commissioned datasets for other engagements or for internal model work. Rights, retention periods, and destruction terms are fixed in the scope document before collection begins.
AdwumaTech AI runs evaluation as a separate program under separate staffing, and accepts evaluation engagements from teams that use AdwumaTech for no other work. Programs cover capability evaluation, safety testing, and adversarial red teaming under structured rubrics with documented evaluator credentials and reproducible protocols.
AdwumaTech AI holds ISO 27001 certification covering its information security management system. Controls include AES-256 encryption at rest, TLS 1.3 in transit, role-based access control, and comprehensive audit logging. Programs align to GDPR for European data flows and the Ghana Data Protection Act for in-country processing. Every engagement operates under NDA from initial scoping.
AdwumaTech AI covers text, speech and audio, image, video, and document data, including identity documents and liveness capture. Multimodal programs combining capture types under a single consent and provenance chain are scoped as one program with one audit trail.
Engagements with AdwumaTech AI begin with a written scope covering task definition, quality thresholds, jurisdictional analysis, data rights, and acceptance criteria, followed by a bounded calibration batch run through the client's own QA before any volume commitment. The calibration batch reports yield, rejection reasons, and reliability metrics. Programs that miss threshold are reworked at the specification level before scaling.
Timing for an AdwumaTech AI collection program is set by the legal groundwork, which completes before the first unit is captured. Consent artifacts, impact assessments, transfer mechanisms, and any mandatory registrations are filed first. Programs in jurisdictions with established regimes move faster than those requiring prior authorization from a regulator.
AdwumaTech AI operates its data programs with a resident engineering organization of thirty engineers working from a dedicated facility in Accra, Ghana. Collection, review, and delivery systems are built to each program specification. Linguistic capacity is anchored by active memoranda with the University of Ghana and Valley View University.