Evidence is fragmented
Alerts, logs, deploys and ownership context live in different systems.
One incident evidence bundleNanoNeuron gathers approved incident evidence, builds a review-ready postmortem draft, and preserves the decisions your engineering team needs to prevent repeat failures.
A deployment preceded database saturation; two contributing factors still need owner confirmation.
Evidence is scattered across alerts, logs, deployments and chat. Engineers reconstruct the timeline manually while the next release is already moving.
Alerts, logs, deploys and ownership context live in different systems.
One incident evidence bundleSenior engineers repeat collection and formatting work after every material incident.
Timeline and sections pre-draftedFollow-up work becomes disconnected from the evidence and decision that created it.
Owner + due date + audit trailNanoNeuron accelerates the repetitive work while engineers retain control of causes, conclusions and corrective actions.
Receive an approved incident event and collect scoped evidence from connected systems.
Normalize timestamps and connect alerts, logs, changes, services and responders.
Produce a structured timeline, impact summary, contributing factors and open questions.
Engineers verify claims, assign corrective actions and approve the durable record.
Most tools stop at rows, traces or alerts. NanoNeuron connects market movement and AI infrastructure to the same business outcome.
Get grounded answers with confidence, evidence, assumptions and financial impact.
Compare model quality, latency, token cost and prompt regressions across authorized APIs.
NanoNeuron connects the evidence, memory and governance software teams need to operate AI reliably. Each capability addresses a defined workflow rather than claiming to replace every engineering tool.
Preserve approved facts and decisions with provenance, consent, correction, expiry and deletion controls.
Trusted context across AI workflowsMeasure evidence coverage, quality, latency, cost and policy compliance before AI changes reach customers.
Evaluation-gated AI releasesCombine dependency findings, incidents and evaluation results into a visible pass-or-block decision.
Fewer avoidable production failuresConnect what changed, supporting evidence, the recommendation, approver and measured outcome.
Traceable operational accountabilityMonitor permitted market, product, documentation and LLM sources and prioritize material changes.
Faster response to meaningful changeShow confidence, assumptions and impact while keeping consequential actions behind explicit approval.
Automation without surrendering controlNanoNeuron combines expert operations, connected market context and governed execution. Explore how each module turns intelligence into accountable business value.
Configure approved sources, verify high-impact alerts and continuously improve extraction rules from client feedback.
Owner-only administration, client isolation, server-side authorization, validated APIs and payment-gated access are built into the product model.
Use a conservative opportunity factor to estimate the monthly value NanoNeuron could help surface. This is an estimate—not guaranteed revenue.
Access begins only after verified payment. No permanent free tier.
For focused teams proving competitive intelligence.
For operators making daily pricing and inventory decisions.
For complex organizations that need control and assurance.
GST and data-infrastructure usage may apply. Final scope is confirmed before payment.
No inflated AGI claims. No hidden free-to-paid trap. Just a controlled intelligence system built around measurable decisions.
Authorized public websites, product catalogues, documentation and official LLM APIs. It can track price, stock, catalogue changes, model quality, latency and cost.
Start recording evidence for your next incident. The draft, the citations, and the guardrails come with it -- included with every paid NanoNeuron workspace.
Built in India · Designed for global operators