BergLabs is a managed services and platform company. We design and run workflow automation, managed AI operations, and data programmes for AI training and evaluation.
Berg Technologies runs managed operations for enterprises. BergLabs is its deep-tech counterpart, building the platform for that work.
2022
Berg Technologies began as a delivery partner for India’s largest e-commerce marketplace. The work was headcount-driven: trained teams running managed business processes, alongside annotation for training and evaluating machine learning models.
2023 to 2024
The teams grew to more than 1,400 operations specialists and forward-deployed operators across three capability centres, working in more than 60 lines of business (LoBs), from marketplaces and quick commerce to finance operations. Running that much work every day showed us where processes break and where human review has to stay.
2025
By 2025 clients were asking for more than extra people on a process. They wanted the way we ran the work, built into software their own teams could use, and AI had made that realistic. We were already running managed services and AI annotation and evaluation side by side, so we put them into one workflow. That workflow became BergFlow, and the automation around it became BergAuto.
2026
We piloted BergFlow with India’s largest e-commerce players in August 2026, and the first licences followed. The platform our own teams used every day became one our clients log into, with BergAuto running the repeatable steps. Seven applications now sit on top of both, covering queues, staffing, embedded teams, crawl evidence, voice, market signals and AI search.
Next
Over the years we have learned two things in depth: how business processes actually run, and how AI is trained and evaluated. Our next services are AI-native, designed around agents and governed records from the first day. We price them on the outcome delivered rather than on seats or effort, in every business function and industry we work in. They are backed by the managed services that have run this work since 2022.
We have worked with them since 2022. What began as teams for seller onboarding and catalogue work grew into the data and operations layer behind discovery and conversion, from the catalogue a buyer searches to the page they land on.
Nine sub-functions across creation, enrichment, quality control, moderation, ML training data and on-call.
Query optimisation, ad-query relevance, data labelling and query fixing.
Homepage management, safe search, website QC, competitor mapping, sanity checks and content enhancement.
Embedded engineering and operations that absorb keep-the-lights-on load, so client engineers can build.
BergLabs brings high-stakes operating experience to the data, review, and automation work that determines whether enterprise AI holds up in production.
Details about our services, platforms, specialists and engagement model.
No. BergLabs is a managed AI and services company, and most work is scoped and delivered with your team. For data annotation, there are two routes. If you have your own annotators and need a multimodal data annotation tool, we license BergFlow; if you would rather buy the result, our specialists run the work on BergFlow and you pay for the outcome. AI transformation works the same way: we can run it as an AI-native service priced on outcomes, with our people in the loop, or build it for you to operate yourselves as a white-label deployment. Access, onboarding and support are agreed for each engagement.
Pricing depends on the scope, complexity, specialist skills, volume and service-level agreement (SLA). The proposal sets out deliverables, quality measures, turnaround times and review responsibilities. Depending on the work, commercial models can be based on outcomes delivered, a managed team, transaction volume, an agreed project scope, BergFlow licences, or a white-label build that your team operates.
You will work with data scientists, engineers and subject matter experts (SMEs), supported by operations specialists where needed. The team is selected for your workflow and industry, with a named delivery owner and agreed review responsibilities.
BergLabs supports customer operations, sales and marketing, finance and accounting, HR and people operations, legal and compliance workflows, IT operations, and data and AI teams. The engagement focuses on a defined workflow and the systems your team already uses.
Our capabilities cover banking, financial services and insurance; healthcare; logistics; e-commerce and marketplaces; property and real estate; and robotics and physical AI. We scope each engagement around its data, domain expertise and review requirements.
BergLabs annotates multimodal data: text, images, audio, video and sensor data. For robotics and physical AI, we capture, prepare and annotate real-world task data across diverse industrial environments in India and the GCC. Guidelines, review steps and quality measures are configured for the task.
Yes. BergFlow is our annotation and labelling platform. It supports multimodal tasks, configurable workflows, reviewer hierarchies, quality tracking and versioned records. We can license the platform, provide a managed annotation team, or work within your existing tools.
We develop AI workflow automation for document intake and extraction, onboarding, reconciliation, ticket triage, catalogue operations, voice workflows, lead qualification and cross-system handoffs. The scope defines which actions are automated and where existing decision-makers review exceptions or sign off on key decisions.
BergLabs brings together seven interconnected applications and two platforms. BergFlow supports structured records, annotation and review workflows. BergAuto is an agent suite that automates repeatable steps across workflows. Applications provide capabilities for specific operational needs, with the combination selected for each engagement.
The application directory includes Rosterr for operational queues, Quinn for specialist vetting and staffing, Charterr for embedded managed teams, BergCrawler for crawl evidence and competitor mapping, Sirenn for voice workflows, Radarr for intelligence and monitoring, and Atlass for websites and search visibility. VersoBrain provides AI-search visibility analysis within the Atlass offering. The applications can be combined into one workflow, running on BergFlow and BergAuto, to deliver against an agreed service-level agreement (SLA).
Yes. We build an AI layer on top of your current systems without replacing them. This can connect CRM, ERP, email, project tools and databases, or operate within your existing annotation tools. Integrations, access and data handling are agreed during scoping.
We provide engineers, data scientists, consultants, operations specialists and subject matter experts across industries. Teams are matched to the required technical skills, domain knowledge, workload and quality expectations.
Yes. We form custom pods of engineers, data scientists, operations specialists and subject matter experts around your workload. The pod has named delivery, review and escalation responsibilities. Location, capacity, access and the service-level agreement are defined before work begins.
We define task guidelines, acceptance criteria, review responsibilities and escalation paths with your team. Quality checks, human review and delivery reporting are built into the workflow. Measures such as accuracy, throughput and turnaround are agreed for the specific task.
BergLabs holds ISO/IEC 27001:2022 certification for information security management and ISO 9001:2015 certification for quality management. Certificates and their scope are available from our team on request. Data access, handling requirements, review controls and delivery measures are agreed for each engagement.
Tell us about your workflow, data requirements or specialist capacity needs. We will help define the scope, delivery approach and service levels.
BergLabs is the brand of Berg Tech AI Private Limited, founded in 2025. It grew out of Berg Technologies, the operations business started in 2022.
