Private memory infrastructure

Your AI should remember. You should stay in control.

Private, portable AI memory with ownership, provenance, correction and permanent deletion.

Create memory vault Launch MVP

Live context pipeline

Approved preferenceSource verified01

Scoped recallNamespace matched02

Context releasedPolicy passed03

Provider-ready contextCITED · INSPECTABLE

MEMORY, NOT CHAT HISTORY

Context that survives sessions without becoming a black box.

Owned identity

Memories are isolated by account and namespace. No cross-customer recall.

Temporal truth

Validity windows and supersession preserve what changed instead of silently overwriting history.

Deterministic recall

Full-text retrieval works without an AI provider; semantic retrieval can be added behind the same contract.

Visible control

Inspect, correct, export, and permanently delete memories from one vault.

Private deep-learning stack

Intelligent where it creates value. Controlled where it creates risk.

Ready-made open-source AI components reduce implementation cost while Nanoneuron keeps retrieval, review, privacy and measurable acceptance criteria under one paid delivery. This is bounded agentic automation, not a claim of human-level AGI.

Integrated ML profile

PaddleOCR document intelligence

Pain: Scanned contracts, manuals and forms cannot be searched reliably.

Result: Validated local extraction creates reviewable text before controlled indexing.

Integrated ML profile

BGE multilingual reranking

Pain: Relevant evidence gets buried in multilingual knowledge bases.

Result: A deep-learning reranker improves ordering after tenant-safe hybrid retrieval.

Optional private deployment

Private Qwen reasoning

Pain: Businesses need model choice without rebuilding their product or exporting data.

Result: An OpenAI-compatible contract supports an evaluated, self-hosted Qwen endpoint.

Safety policy active

Bounded agentic workflows

Pain: Unrestricted agents can take costly or irreversible actions.

Result: Tool allowlists, execution budgets and human approval constrain every side effect.

LIVE MVP CONTRACT

Remember. Recall. Correct. Export. Forget.

01Five atomic memory types

02Account and namespace isolation

03Source and confidence metadata

04Temporal validity and supersession

05Portable JSON export

06Permanent user-controlled deletion

THREE-MINUTE EVIDENCE DEMO

See controlled memory change an assistant’s behavior.

“Which stack and report schedule should I use for this customer?”

Without controlled memory

I do not have that context. Ask the customer for their stack and schedule again.

With NanoNeuron Memory

Use FastAPI and PostgreSQL. Send the approved weekly report each Friday. Sources: M1, M2.

2 current, approved memories · no conflict · complete context

The customer does not repeat information already provided in an earlier session.

Synthetic demonstration. Pilot acceptance results are measured against the customer’s own approved evaluation cases; no performance percentage is implied here.

Start the ₹49,999 pilot

SELL THE INTEGRATION

Controlled AI memory in one week.

Technical evaluation

₹999 / 31 days

Self-service evaluation of the core memory lifecycle.

Fixed-scope agency pilot

₹49,999

One chatbot integrated in 7 days with measurable acceptance criteria and 14-day stabilization.

Production integration

₹1,00,000–₹5,00,000

Production architecture, migration, controls, testing and deployment.

Support and usage

₹10,000–₹50,000 / month

Contracted operations, monitoring, usage and reserved support.

Buy the paid pilot

Fixed pilot acceptance contract

Includes one existing web chatbot, TypeScript or Python integration, consent and review controls, correction and deletion, a production-derived baseline evaluation, deployment handover, and 14 days of stabilization. CRM connectors, model fees, historical data cleanup, compliance certification and additional bots require a separate written scope.

Start with memory you can inspect.

Use the ₹999 plan for technical evaluation. Production integrations, connectors, onboarding and support are paid separately under a written pilot or implementation scope.