Massive helps expert teams automate research and reporting workflows with our no-code platform and hands-on support team of AI-expert analysts and developers. We connect your existing workflow data and tools, define a repeatable process, and run the automation to produce interactive reports—turning days of work into minutes.

Both. You get a non-technical platform to design and run automations yourself and to deliver engaging interactive reports for you and your clients. Plus, you get hands-on human support to help scope, build, and refine your automations - like an inhouse AI and automation team.

Massive is for specialist teams that produce repeatable research and reporting—where quality, structure, and speed matter. It’s a fit for professional services, finance, healthcare, pharma, ESG, legal, compliance, strategy, and internal analytics teams.

No. Massive is designed for non-technical teams. If you have complex systems, we can help with integration setup during onboarding/pilot. Developers will love this platform too as it will save them time and allow them to empower their non-technical collegues.

Massive can turn repeatable, frequent, or large-scale knowledge work into automated workflows, enabling faster research, drafting, data extraction, and consistent reporting. The biggest gains come when Massive is connected to your real data and guided by your team’s unique processes—improving speed, consistency, and decision-making, while differentiating you from off-the-shelf solutions and chatbots.

This allows small teams to deliver expert work at the scale of global firms or to deliver more cost-effectively for smaller clients, expanding your market without increasing headcount.

There are several types of automatable reports.
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Anything that is frequent with repeatable processes run on different subjects or the same subject at different times. We often help with client reports, board packs, market research, regulatory summaries, due diligence packs, literature reviews, grants and grant reporting, company announcements, customer profiles, equity analyses, ESG disclosures, KPI dashboards, project reports...
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One-offs involving large amounts of structured or unstructured data, analysis, reading, and writing: e.g., a meta-analysis of research papers, or a policy guidance background report.  
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The scale of LLMs allows clients to create new, previously infeasible reports too, for example, instead of being limited to summarising ESG data from one company, you can summarise all companies in a particular sector or even compare all companies in several industries!
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Our report analyst feature also helps readers consume these often large reports, cutting straight to the insights they need or diving deeper into source content.

Yes. Automations can be designed around your preferred structures—headings, section order, tables, charts, and tone—so outputs match your organisation’s standards and remain differentiated. Reports can be exported into HTML or common file types.

It depends on what you’re automating - how long the report is, how many analysis steps there are, how many data sources are involved. Many teams can get a first workflow running in a week, then iterate and expand over the following weeks. The fastest path is to start with one high-value report and build from there.

Common sources include file storage, internal databases, resource managment systems, CRMs, spreadsheets, APIs, and external datasets, document registers, business intelligence sites, and finance terminals. The key is that your automations pull from the sources you already use and we have a growing library of industry APIs for quick set up, or can build a custom interface for you.

Yes. Massive is designed to work with different models, and is completely modular so you can use different models and data sources for different tasks and swap them in and out as your needs and technology evolve.

We treat security as foundational. Your data should not be used for training by default., but we don’t rely on “good faith” third-party practices alone—workflows are designed around governance, access control, and safe handling of sensitive data. Data is kept onshore, we implement firewalls where possible, offline edge implementation, de-identification, and strict no data holding relationships with 3rd parties.

Chatbots help you draft and answer one-off questions. Massive helps you run a repeatable process. Chatbots are limited to their training data and they’re manual: you re-prompt every time, upload files, and still lack control over data sources, structure, repeatability, and traceability. Massive is built for complex workflows—where inputs, outputs, are defined and , then rerun, iterated, edited, and scaled on demand.

All automated content is generated from real-time information, referenced directly from the source, with in text referance and linked bibliography and hover over quatation. Each report has an associated auditable data trail. This eliminates hallucinations and the need for training, while ensuring your data is up to date.