Nodes Engine
Connects company knowledge, investigates and compares options, carries out approved work and checks results.
Explore Nodes Engine →Models will change. Agents will change. Your context graph, decision history and outcomes stay yours.
Nodes Engine connects what your company knows so your team can understand a problem, compare what to do and carry out approved work across existing systems. Give it a goal, or let it flag what needs attention in the sources you choose.
Bring one business question. No company data needed for the first conversation.
Nodes AI FDE, our AI forward-deployed engineer product, configures and tests the solution. Your permissions and approval policies govern the work.
Your company already paid for its intelligence through years of work, expensive mistakes and people figuring out what actually works.
That experience should do more than sit in documents or leave when someone moves on. It should help your next hire succeed sooner, your next customer stay longer and your next decision build on what you already learned.
When what your people know lives only inside someone else’s model or platform, you pay to use it and leave it behind when you switch. Super Intelligence should turn that experience into your company’s advantage. Not your vendor’s leverage.
We built Nodes so companies can put everything they’ve learned to work, keep getting better and own the intelligence they build.
You should be able to change the technology without leaving behind what made it valuable: what your company knows.
Your records live across systems. The judgment behind them lives with people. Nodes Engine connects both with decisions and outcomes, so it can investigate problems, compare possible actions, carry out approved work and use what your company learns in the next decision.
See how Nodes worksA person’s application, licensing progress and support history may sit in different systems. Documents, conversations and local judgment add more context. Nodes connects these relationships, alongside relevant external developments, so AI can see the business situation and propose the next step.
Your company chooses the data and permissions. Your team stays in charge of what gets done.
The context graph connects your company’s records, relationships, human judgment, decisions and outcomes.
Connects company knowledge, investigates and compares options, carries out approved work and checks results.
Explore Nodes Engine →Connects systems, builds private integrations and verifies them in your environment.
Our AI forward-deployed engineer product clarifies the goal, builds integrations, configures workflows and tests the solution.
Choose which sources Nodes can check and how often. It brings the evidence and a proposed next step to your team.
Illustrative partner-change example
A partner will require site-access details. Your current application form does not request them.
Agreed internal and external sources“How should we prepare for this partner’s new requirement?”
Your business priorityNodes connects the notice, form and local guidance. Your process owner adds an exception. Review the evidence, options and estimated costs together.
Required approval comes before any change.Inspect sources, challenge an assumption and correct missing local context.
Compare estimated impact and costs. More evidence or no change may be the right response.
Nodes carries out approved work in permitted systems under configured approval gates and delegated authority.
Give your team sourced answers, preparation and practice grounded in your company’s knowledge, with guidance suited to their role, language and location.
Ask about the approved process, inspect the source and flag missing context.
Draft a customer response or checklist using current company guidance.
Rehearse the approved process and reach the responsible expert when judgment is needed.
A Decision Trace records the evidence, your team’s judgment, the approved work and what happened next. Your context graph keeps that history. Nodes checks earlier lessons against current conditions before reusing them.
Your company owns this history under your agreement. Current permissions govern work; prior approval never expands them.
Ownership and control →After the first conversation, agree the question, starting measure, sources and permissions.
After complete agreed data access: findings, gaps, options, cost estimates and next steps.
Set the scope and schedule. Measure business results, operating costs and team effort afterward.
Start with paid analysis. The question, value threshold and calculation are agreed in writing before payment. Your first decision brief identifies at least $1M in potential business value over an agreed measurement period, within 72 hours of complete agreed data access, with findings, options and action/inaction cost estimates. Typical setup takes 1-2 weeks. Implementation is separately scoped and scheduled.
Bring one question and its accountable owner. No company data needed for the first conversation.