NxtEdge · AI Operating SystemYour company, running on the edge of what's next.
Give every department an AI workforce that understands your org chart, routes decisions to the right people and keeps humans in control where it matters most. One relational core, governed agents, a 24/7 scheduler and an MCP tool layer — deployed privately.
Your whole company as a live graph.
Companies, business units, departments, teams, employees, systems and AI agents live in one relational core. Every agent knows who it reports to, which tools it may touch and which human signs off. The workforce map shows the AI headcount of every department at a glance.
- 143 nodes, 142 connections in the demo organisation
- Agents assigned to departments as workers or managers
- Search anything: clients, agents, tasks, runs
How will this agent work? You decide, per role.
Human-in-the-Loop
Human confirms every process; the decision maker is human. Every write pauses at an approval gate.
Human-on-the-Loop
Human monitors and can intervene as a safeguard while agents execute with live visibility.
Autonomous
Agent works fully autonomously without human intervention, governed by policies and audit traces.
Every surface, one platform.
An assistant that reads your databases and writes real reports.
Ask in plain language. The assistant plans, queries your registered databases through governed tools, builds HTML reports with charts, and parks them at an approval gate. Approved reports are shared with departments and scheduled to re-run.
- Pending approval → Approve / Reject / Regenerate
- Share within company by department
- Any model: GPT, DeepSeek, Claude or a local model
- Cost per conversation shown live
Node-based workflows, with nodes the AI writes for you.
Describe a node — "convert an integer to a string", "search JSON nodes by name" — and the engine generates the Python, registers it and reloads. Flows connect memory stores, iterators, AI tool boxes, connectors and HTTP APIs; a scheduler runs them on cron, and skills expose them to agents as tools.
- Generate Node / Generate Flow with AI
- Skills: AI tools with their own node types
- OAuth connectors with per-operation permissions
- Scheduler with timezone-aware cron and run history
Data never goes to the LLM.
Personal data is replaced with tokens on the way in and put back on the way out. Rules match columns and regex patterns; every match becomes a token and the original is vaulted in an encrypted, auto-expiring token map. Models, tools and flows see tokens only — restore is scoped to the run that minted them.
- Ingest → Tokenize → Model layer → Restore → Delivery
- Rules, generator, entity classes, regulation coverage
- Works with frontier and local models, no lock-in
- Scoped restore: foreign tokens stay tokens
Every request, every model turn, every cost — on one timeline.
Trace shows what each request changed, which model turns it caused and what they cost. Metrics roll up requests, error rate, P95 latency, tokens and model spend per provider. Audit trails, activity logs, events, permissions and policies give compliance teams the full picture without asking engineering.
- Requests, failed, average, P95, model spend per period
- Role × permission matrix with scoped grants
- Policies and rules as first-class records
- Events bus feeding agents and integrations
Forms the AI builds, documents the agents read.
Describe a survey or intake form and NxtEdge generates the fields, validation and layout; share it with a link or embed it. Knowledge bases, playbooks, lessons learned and templates sit in the same core, so agents answer from your documents, not from the internet.
- AI-assisted and auto-generated forms
- Public share links and embeds
- Knowledge base, playbooks, documents, templates
- Branding: logo, colours and document themes per company
Frontier models when you want them. Local models when you must.
The NxtEdge Host-Agent pairs a machine inside your network with the platform. It serves local models through NxtEdge's own inference engine (one llama-server process per model), exposes local databases and a local browser to agents, and streams status back — so the platform can run with zero external model calls.
- Managed and external local models, GPU offload per model
- Local database and browser access for agents
- Pairing code, status, logs — one small desktop app
- Claude Code connects to NxtEdge with SSO
Data never goes to the LLM.
Data arrives
Records, files and prompts enter in the clear.
Engine replaces
Every rule match becomes a token. The original is vaulted.
Model reasons
Models, tools and flows work on tokens only.
Engine puts back
Tokens minted in this scope are resolved from the vault.
Result is sealed
Agents, reports and people receive real values again.
Workforce map: departments and their agents
Scheduler
Skills as node types
MCP tools
Role × permission matrix
Audit trails
Registered databases
Events
Claude Code connects with SSO
One plan. Full power.
Enterprise: full-scale deployment, governance and long-term operations. Private deployment options, advanced security controls, dedicated onboarding, unlimited agents and integrations.
- Private cloud or fully on-prem with Host-Agent
- SOC 2 Type II, GDPR, KVKK and HIPAA ready
- Unlimited agents and integrations
- Dedicated onboarding and SLA-backed support
Ready to put AI on your own infrastructure?
Tell us about your environment, your data boundary and your latency target. We will design the pipeline with you and bring it live within days, not months.