Skip to content
COORDINATION LAYER · BUILDING IN PUBLIC

The Network of Collective Intelligence

Many agents. One intelligence.

DeepASI.Network coordinates independent AI models — routing one question through answers, critique, and synthesis — into transparent, structured consensus results.

CONSENSUS NETWORK · INDEPENDENT AI MODELS
Multi-Model Consensus
Independent AI Models
Cross-Verification
Provider-Neutral
01 · THE PROBLEM

Today, AI systems are powerful but isolated.

Each model has its own strengths, blind spots, policies, and limitations. Users are forced to trust one answer from one system, even when important questions require broader reasoning and verification.

TODAY · ONE MODELUNVERIFIED
Q
M1
1 answer
provider biasblind spotsno second opinionpolicy constraints
DEEPASI · A NETWORKCROSS-VERIFIED
Q
consensus
result
independent responsescritique roundsvisible disagreementcalibrated confidence
01

The AI market is fragmenting

New models and agents appear every week, each with its own strengths and blind spots.

02

Users don't know which system to trust

Switching between tools creates cognitive overload and inconsistent answers.

03

A single AI can be biased or incomplete

Each model is constrained by its provider's policies, data, and limitations.

04

Important questions need more than one view

Research, business, and technical decisions benefit from verification and multiple perspectives.

Not another AI. A coordination layer for AI.

Independent and provider-neutral by design — not owned by any single AI provider, so no one model's bias becomes the default.

02 · FIRST PRODUCT

The Consensus Engine

One question is routed to several AI systems. Each answers independently. The answers are compared, critiqued and verified — and the final response is a synthesized answer with calibrated confidence, agreements, disagreements, and caveats.

The goal is not to collect more answers — it is to make AI systems review, challenge, and strengthen the shared result.

01

Question

A user asks one question.

02

Independent responses

Routed to several AI systems that answer in isolation.

03

Critique & cross-verification

Answers are compared, challenged and stress-tested against each other.

04

Synthesis

Agreement, conflicts and evidence are merged into one structured result.

05

Structured consensus result

With calibrated confidence, disagreements, minority views and caveats.

PRODUCT PREVIEW · ILLUSTRATIVE CONSENSUS RUN
deepasi.network / consensus / sample-runPARTIAL · 4/5 SYSTEMS RESPONDED
QIs it safe to migrate our production database to the new engine this quarter?5 SYSTEMS · 2 CRITIQUE ROUNDS
Synthesized answerCONSENSUS 3/4SYNTHESIS · ROUND 2

Yes, with conditions. All responding systems agree the migration is technically viable this quarter; disagreement remains on rollback timing. Proceed with a staged rollout, a verified backup window, and a replication-lag check before cutover.

AGREEMENTS · 3Technically viable · staged rollout preferred · backup window required
DISAGREEMENTS · 1Rollback timing: same-day cutover vs. 48-hour dual-write period
MINORITY VIEWSystem C recommends delaying one quarter due to unresolved replication-lag risk under peak load.
UNCERTAINTIES · 2Peak-load behavior is extrapolated from staging data · one system did not respond before timeout.
EVIDENCE & PROVENANCE
EV-01Replication benchmark, staging cluster (12 Mar)CITED BY A · B · D
EV-02Vendor migration guide, v4.2 — rollback proceduresCITED BY A · C
EV-03Incident postmortem: 2025 Q3 failover drillCITED BY C
CALIBRATED CONFIDENCE
82/ 100
Calibrated across 4 independent responses and 2 critique rounds.
PARTICIPATING SYSTEMS
SYSTEM AgeneralistRESPONDED
SYSTEM BgeneralistRESPONDED
SYSTEM Cinfra specialistDISSENTS
SYSTEM Dcode & dataPARTIAL AGREE
SYSTEM Elong-contextTIMEOUT
USAGE & COST
Tokens in / out18.4k / 6.1k
Estimated cost$0.14
Total latency24.8s
Explore the Consensus Engine →
03 · ARCHITECTURE

One core. Many interfaces.

The same Consensus Core powers every access path — from a web interface for people to programmatic access for products and other agents.

INTERFACES
Web UIfor people
REST APIplanned
SDKplanned
MCPplanned
A2Aplanned
Consensus CoreROUTING · INDEPENDENT RUNS · CRITIQUE
SYNTHESIS · CONFIDENCE CALIBRATION
PROVIDER-NEUTRAL BY DESIGN
AI SYSTEMS
Model providerslive
Autonomous agentsplanned
Data sourcesplanned
Services & toolsplanned
04 · USER-OWNED INTELLIGENCE · ROADMAP

We coordinate intelligence, not unnecessary data custody.

Personal data, documents, memory, and private context should remain on the user device whenever possible — the network coordinates intelligence without becoming a warehouse of private data.

Users own their dataa local Personal Vault will store documents, memory, embeddings, and private agents.

Cloud-light infrastructuredesigned to reduce costs and improve privacy by keeping the core lightweight.

Optional encrypted syncplanned only for convenience — never required.

Your device · Personal VaultPLANNED
docs
memory
embeddings
agents
ENCRYPTED SYNC · PLANNED, NEVER REQUIRED
Cloud-light coordination coreMINIMAL

The future is not one AI.
The future is a network of AI.

DeepASI.Network is the layer that connects them.