B.R.A.I.N.™ Infomineo's Super-Agent Harness
Our teams work in B.R.A.I.N.™, Infomineo's internal AI platform: a super-agent harness that brings together proprietary agents, knowledge bases, and leading LLMs, with governance and security built in.
Super-Agent Harness
Proprietary Agents
Proprietary Knowledge Bases
Cloud and Local LLMs
Governance and Security
Isolated Sandboxes
Agent Studio and Workflow Engineering
Built Around Workspaces
B.R.A.I.N.™ is built around workspaces. A workspace is an isolated environment that keeps each project separate, and the team members invited to it share the same agents, documents, and skills.
Editable memory: B.R.A.I.N.™ extracts durable facts and context in the background and uses them in future work within the same workspace. Teams can view, search, add, edit, and delete individual facts.
Knowledge base: workspace documents are ingested and indexed into searchable knowledge that grounds agent answers.
Workspace
Isolated per projectEditable MemoryFacts and context kept inside the workspace, fully editable
Knowledge BaseProject documents, indexed and searchable
Shared Agents and SkillsCustom agents, skills, and tools for the whole team
Team members invited to a workspace share the same agents, documents, memory, and skills.
What B.R.A.I.N.™ Does for Our Teams
The capabilities our analysts use to deliver research and analysis for clients.
Deep Research and Data Analysis
Agents combine web search, deep research, and research-focused models with analysis of Excel and CSV files, then chart the results.
Proprietary Skills
Agent skills capture repetitive workflows, such as product comparisons or formatting layouts, so teams repeat them consistently.
Super-Orchestration
Tools, connectors, internal knowledge, multiple sources, premium databases, and skills, all brought together in one workspace.
Long-Running Tasks
B.R.A.I.N.™ performs long-running, durable tasks, with agents running continuously for multiple hours to solve a problem.
Agent Studio
Teams create ad-hoc context, agents, and workflows tailored to the specific needs of each client.
Workflows From a Conversation
Teams describe a workflow in conversation, and the lead agent creates the agents and sub-agents it needs at runtime.
Trustable Results
Full traceability of sources, with confidence scores on answers that trigger review by a human expert.
Finished Deliverables
Agents produce real deliverables such as PowerPoint decks, PDFs, spreadsheets, and HTML pages, not just text answers.
Complex taskA research or analysis request
Lead agentDecomposes the task into focused subtasks
Sub-agents in parallel
Sub-agentSubtask 1
Sub-agentSubtask 2
Sub-agentSubtask 3
One outputResults synthesized into a single deliverable
B.R.A.I.N.™
Super Orchestrator
A lead agent plans complex work, routes each part to the right agent, and combines the results into one output.
01
Autonomy
The lead agent decomposes a complex task into focused subtasks on its own and launches the sub-agents needed to complete them.
02
Smart Routing and Efficiency
Each subtask goes to the agent best suited to it, with its own model, skills, and tools, and sub-agents work in parallel.
03
Focused Context
Splitting work across dedicated agents keeps each context window focused, which prevents overload and reduces the risk of hallucination.
Four Gears, One Engine
B.R.A.I.N.™ shifts gear to match each task, from fast answers to simple requests up to sub-agents that divide complex, multi-step work.
Gear 1
Flash
Fast and efficient, for simple requests.
Gear 2
Reasoning
Reasons before acting, balancing time and accuracy.
Gear 3
Pro
Reasons, plans, and executes for more accurate results.
Gear 4
Ultra
Pro mode with sub-agents that divide the work. Best for complex, multi-step tasks.
Technical Excellence
The architecture behind Infomineo's super-agent harness.
Workspace-Specific Context
Each workspace keeps its own memory and context, so agents work with the instructions, formats, and facts of that project.
Sandboxed Execution
Agents execute code in completely isolated environments. Each task runs in its own dedicated container.
Connected Research Tools
Agents connect to tools through MCP servers, including web search, document retrieval, and Google Workspace.
Model Choice per Agent
Each agent runs on the model assigned to it, so teams match the model to the task.
Runtime Middlewares
23 middlewares run around every agent step, from input and tool-result sanitization to token budgets, loop detection, sandbox audits, and safety checks.
Agent Guardrails
Every agent carries an Open Agent Passport (OAP) with its identity, capabilities, and operational limits, plus pre-action authorization, signed audit trails, and instant suspend.
Your Data, Protected with Highest Standards
B.R.A.I.N.™ implements enterprise-grade security measures and compliance protocols to ensure your sensitive data remains protected at every level
Regulatory Compliance
Our operations are compliant with the most relevant data security regulations
Global Infrastructure
Our technologies and processes allow us to support clients in any geography
Regulatory Compliance
ISO 27001 Certification
International standard for information security management systems ensuring systematic approach to data protection
GDPR Compliance
Full adherence to European data protection regulations ensuring privacy rights and lawful data processing
Additional Security Measures
Regulated Access to Data
Strict access controls and authentication protocols ensuring only authorized personnel handle sensitive information
Data Security Training
Comprehensive security training and policies for all employees to maintain highest data protection standards
Tech-Enabled Protection
Advanced technical safeguards including VPN, virtual machines, and secure infrastructure protocols
Best Practices in Data Processing
Industry-leading encryption, secure data processing workflows, and privacy-by-design implementation
Common Questions About B.R.A.I.N.™
B.R.A.I.N.™ (Business Research AI Intelligence Network) is Infomineo's internal AI platform. It is built as a super-agent harness: a lead agent breaks complex tasks into subtasks, assigns them to specialized sub-agents, and combines their results into one output. Our teams use it to support research and analysis for clients.
Our teams work in workspaces, each built around a specific project or work stream. Every workspace has its own agents, skills, tools, memory, and knowledge base. For complex tasks, the lead agent launches multiple sub-agents in parallel and synthesizes their results.
Workspaces are isolated from one another, and agents need explicit approval to read data outside their own conversation. Agents run code in isolated sandboxes, and chat and memory data are stored encrypted. Infomineo is ISO 27001 certified and GDPR compliant.
A standard chat tool answers with a single model in a single conversation. B.R.A.I.N.™ adds a harness around the models: sub-agents that work in parallel, sandboxes where agents run code and build files, editable memory, and knowledge bases that ground answers in project documents. The output can be a finished deliverable, such as a PowerPoint deck, a PDF, or a spreadsheet.
Teams use it for web and deep research, document and data analysis, charts, reports, and presentations. Ready-made agents support recurring steps, such as clarifying a client request, designing a primary research proposal, building a proxy methodology when direct data is unavailable, and reviewing a deliverable before it goes to the client.
Yes. Agents use web search tools and research-focused models to bring current information into their work, alongside the documents stored in the workspace knowledge base.
B.R.A.I.N.™ gives our teams access to leading models from OpenAI, Anthropic (Claude), Google (Gemini), Perplexity, and Mistral. Teams choose the model for each chat, and each agent runs on the model assigned to it.
B.R.A.I.N.™ is an internal platform used by Infomineo's teams. Clients benefit from it through the research and analysis we deliver. To discuss a project, book a discovery call with our team.
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