AI shaped around your work,
with people to see it through.

We bring together specialist teams, data labelling and workflow automation around your needs. BergLabs builds and runs the operation with you, with people responsible for the quality of what’s delivered.

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Six functions ↗Five industries, and more ↗

BergFlow and BergAuto run under every service, with seven applications built on both.

ISO/IEC27001:2022ISO9001:2015

$120M+Client impact from the work

300%YoY growth

8+Enterprise clients served

20+Engineers working on the AI

40 millionRecords the operation has processed

1,400+Operations specialists & forward-deployed operators

3Capability centresPlus client-side forward-deployed pods

Services we offer

Enterprise AI transformation

We connect fragmented processes, records, and decisions into an AI assisted operation. People stay responsible for the exceptions and the business outcome.

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Shorter cycles & clear ownership.

Automate the repeatable. Route the uncertain.

AI organises the request and attaches the context a reviewer or key decision-maker needs.

INCOMING WORK

Customer requestEmail · documents

System contextRecord · history

Operating rulesScope · permissions

01 / PlanPlans and actsContext attached

02 / ReviewCheck or sign offNamed owner

03 / HandoffAccepted output

Multimodal data annotation & evaluation

We build and run data workflows across modalities, with task rules, specialist review, and quality evidence. The deliverable is usable data and an evaluation trail.

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Reviewed data, ready to use.

Labels, review and provenance travel together.

ANNOTATION WORKSPACE

object: parcel

REVIEW RECORDSample / parcel_01

Image regionChecked

Audio labelChecked

ReviewerAssigned

Ready for evaluation

Physical intelligence data production

We produce and prepare real world task data for robotics and physical AI teams. Capture, preprocessing, annotation, and review are managed as one delivery path. You can also choose capture and transfer only, or capture with storage and preprocessing before the data is transferred to you.

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Real-world tasks, prepared for training.

Capture → align → annotate → review

TASK / PICK AND PLACE

VIEW AVIEW B

DELIVERY SEQUENCE

Synchronised views

Aligned task frames

Action labels

Quality review

Managed staffing

We assemble people for operating queues, annotation, specialist review, and AI supported work. BergLabs manages the delivery and quality around the team.

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The right people, brought together around your work.

Human Bench

Capability Centre

Managed Multi-Tier PodsDelivery leads · Quality leads · Specialists

Multimodal
Data Annotation

Enterprise Workflow Automation

E-commerce

Robotics

BFSI

FinTech

PropTech

Trust & safety

What could work better
for your team?

Tell us about the workflow, data challenge or capacity gap. We’ll work through the next step with you.

Talk to BergLabs ↗

BergFlow keeps every record, version and review state connected.

It is the control plane under each service. Work is versioned, exceptions go to a named owner, approvals are recorded and the audit trail stays attached to the decision.

One governed record across image, video, audio, text and sensor data
Exception routing to a named owner, with the evidence attached
Approvals and an audit trail on every change

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BergAuto runs the repeatable steps. Seven applications put both platforms to work.

BergAutoAgent suite that scores and executes repeatable steps across workflows. RosterrRuns live operational queues with SLAs, QA sampling and escalations. QuinnVets specialists and assembles staffed teams. CharterrEmbeds managed BergLabs pods inside your operation. SirennRuns SLA-bound voice workflows, from answer to routing. RadarrRanks go-to-market signals into outreach queues. AtlassAudits and fixes how AI search describes your brand. BergCrawlerCaptures crawl evidence: the screenshot, timestamp and source.

See how BergLabs works ↗

Here’s what working with us looks like.

We get to know the work, build the right team and stay involved as it grows.

Where do we start?

With the work you want to improve. We look at your current process, systems and constraints, then agree on the outcome and what good delivery means.

Who does the work?

A managed pod of specialists, with quality leads and a delivery owner. Repeatable steps go to automation. Judgment stays with people. If the volume rises or falls, we resize the pod and retune the approach, rather than locking a fixed team.

How do we stay aligned?

Before delivery starts, we write down who decides, who reviews, and how an exception is handled. Progress stays visible, so you are not chasing a status update.

What happens as our needs change?

The work runs to an agreed SLA built around the outcome you want. We review the result with you, and we change the workflow, team, or scope only when that outcome calls for it.