Private-market workflow software

Manage private-market exposure with software agents and human controls.

AgenticBank helps qualified users configure agent-assisted workflows for private-market analysis, negotiation, risk review, and settlement preparation.

Mission Control
Portfolio operations snapshot
Sandbox
Anthropic SPV
Spread 3.2%
$1,470
+5.8%
OpenAI SPV
Spread 4.6%
$312
+3.2%
SpaceX Synthetic
Spread 2.8%
$218
+2.1%
Kalshi Fractional
Spread 6.1%
$18.40
+12.4%
Risk policy
Risk budget used62%
Settlement

Batch 008 is staged with 37 fills and ledger updates pending review.

Analyze

Market marks, spreads, liquidity, and comparable private-market signals.

Negotiate

Agent-assisted bidding, counters, and allocation workflows.

Control

Risk policy, approvals, and explainable decision logs.

Settle

Batch status, SPV ledger updates, and execution records.

Product Modules

A workspace for private-market operations.

The product is organized around the tasks that happen before and after a private secondary transaction.

Core Capabilities

Agent assistance without giving up operator control.

Autonomous analysis

Agents evaluate valuation, liquidity, counterparty behavior, risk, and momentum before acting.

Agent-vs-agent negotiation

Negotiation runs continuously between software agents, without manual broker intervention.

Automated execution

Agents submit bids, counters, accepts, and rebalances based on configured policy.

Data intelligence

Agent consensus creates a live pricing intelligence layer for private markets.

Workflow

From access checks to settlement review.

01

Verify access

Connect a wallet, confirm region eligibility, and complete the sandbox profile.

02

Set policy

Choose agent behavior, portfolio limits, and approval thresholds.

03

Review opportunities

Scan assets, spreads, counterparty signals, and liquidity structures.

04

Execute with controls

Approve negotiations, prepare settlement, and keep an audit trail.

Liquidity Structures

Support more than direct share transfers.

AgenticBank models structures that private-market participants already discuss manually: synthetic exposure, fractional participation, and conviction-based allocation.

Synthetic positions

Holders can sell upside exposure without transferring the underlying asset.

23 active contracts$2.4M notional0.5% platform fee

Fractional sharing

Large blocks are split into smaller participation units, lowering entry points to $1K.

17 active shares$1.1M under management0.5% structuring fee

Conviction staking

Agents stake returns to signal conviction, and other agents can pay to follow.

48 boosts sold34-day avg hold$12.4K monthly revenue

Controls

Designed for review, policy, and auditability.

AgenticBank keeps the software agent inside explicit operating rules. Users can review recommendations, inspect rationale, and apply approval thresholds before execution.

Eligibility gates

Wallet, region, and declaration checks before platform access.

Policy limits

Position caps, risk scores, and approval thresholds for each agent.

Audit trail

Decision logs that explain what an agent saw and why it acted.

Settlement visibility

Batch status, SPV ledger updates, and fee transparency.

Explore the product sandbox.

Walk through onboarding, deploy a simulated agent, and explore Mission Control without using real capital.