One platform, many surfaces: model-agnostic, multi-modal, and agentic by design. Built on your data, owned by your business, operated end to end. Below is every layer of the Brain, from the data it ingests to the surfaces your team uses, and the human checkpoints built into each one.
Most AI integration failures come from over-automation: removing people from the steps that need judgment, accountability, and relationship context. nBrain is built agentic-first but human-governed. The Brain researches, drafts, and prepares; your team reviews, approves, and acts. People stay in core processes by design, not as an afterthought.
One Brain, experienced through the surface that fits each team's workflow.
▲ requests and responses ▼Streaming chat with live artifacts, plan-review prompts, approval cards, and a Memory panel.
Drop-in assistants inside the apps and portals you already use.
Internal and client dashboards, reporting hubs, and deliverable tracking.
Programmatic access for any system in the stack.
Proactive, time-triggered and event-triggered workflows. Proactive AI →
The reasoning layer: it plans, routes, acts, verifies, and streams.
▲ model calls ▼The agentic orchestrator runs a bounded loop: observe, decide, plan, human gate, act, verify. It classifies intent, routes to the right model, plans with native tool-calling, pauses at human checkpoints before irreversible actions, executes the approved tools, grounds the answer, and streams the result.
Intent and complexity scoring drive model and budget selection.
A fast model for light asks, a frontier model for hard reasoning.
Multi-source parallel plans, with sub-agent escalation for deep research.
Plan review and approval gates before state-changing actions execute.
Iterative act and observe, with a step budget and repeat-call guards.
Hybrid retrieval, reranked for relevance before reasoning.
High-risk answers are grounded against tool truth before they ship.
Charts, documents, dashboards, code, and PDFs, built from real data only.
Read-only research runs freely. Anything that changes state, reaches a client, or encodes a decision waits for a person.
The user sees the agent's execution plan before tools run, and can edit, redirect, or cancel before anything happens.
State-changing actions (send an email, create a task, write to the CRM) pause until a person explicitly approves.
The agent prepares emails, documents, proposals, and client deliverables; a person sends, publishes, or shares them.
High-risk answers are grounded against real tool data and flagged before streaming to the user.
Users view, edit, and forget what the Brain remembers, so stored facts never drift silently.
Human corrections are reviewed and approved before they become durable guidance the Brain reuses.
Model-agnostic. The best model for each task, never locked to one vendor.
▲ tool invocations ▼Long-context analysis and careful writing.
Orchestration, code generation, and broad task coverage.
Visual and document understanding, and a resilient fallback path.
Call recordings and voice-driven workflows.
Meaning-based search across the knowledge layer.
On-prem and air-gapped deployments for data that cannot leave.
The Brain's hands: a registry of tools plus named multi-step skills.
▲ read and write ▼Search, lookup, and research tools run on their own. Any tool that sends, creates, updates, or deletes waits at a human checkpoint, configurable per tool, per role, and per workflow.
Durable memory and the institutional knowledge layer that compounds over time.
▲ index and embed ▼The structured system of record.
Semantic and hybrid retrieval.
Facts the Brain remembers for each user.
Extract when a conversation ends, recall when one starts, then compress and de-duplicate.
The conversation window and episodic recall for each session.
Human-curated: view, edit, and forget what the Brain knows.
Continuous, multi-modal pipelines that feed the Brain real data, with proper guardrails.
Multi-modal infrastructure →Inbound and outbound messages, threaded and indexed.
Meetings and scheduling context.
Channel activity per client or workstream.
Meeting recordings, summaries, and action items.
Shipped features, commits, and deployment activity.
Docs, decks, PDFs, and data files, with OCR and parsing.
Live pages and structured extraction.
CRM, ERP, ATS, and custom operational systems.
Build logs, repository context, and the engineering activity feed.
What makes the Brain production-grade, private, and owned.
Plan review, approval gates, draft-first outputs, and human-approved learning. Not full autopilot.
Every record and memory is scoped by user, inside strict tenant boundaries.
Data never trains public models. Designed to support HIPAA and SOC 2 requirements; we sign a BAA where PHI is involved.
Every state-changing action is logged with who approved it, when, and what changed.
Per-request agent traces, token accounting, latency, and tool telemetry.
Regression-tested behavior and domain guardrails before anything ships.
Every capability is reversible: ship safely and roll back quickly.
Corrections are reviewed by a person before they become durable Brain guidance.
Agentic-first, human-governed. Production in weeks, compounding for years.
In one strategy session we map your data sources, the first workflows worth automating, and where the human checkpoints belong in your business.
Prefer email? hello@nbrain.ai