For wealth enterprises

Managed data & intelligence operating systems built where your data lives

Prebuilt semantic assets and data models, deployed to your systems — then run as a Managed Data & Intelligence Operating System. We build it, we maintain it, you own it.

Weeks, not quarters
Designed for first certified metric in weeks
One definition
AUM, NIGO and flows aligned across the enterprise
Always-on
Managed run, monitoring and remediation
Agent-operated
Workflows designed to execute with sources
SOC 2 Type II aligned controls
Role-scoped access & PII masking
Versioned, certified semantic layer
Runs on Snowflake or Databricks

Why Hive is different

We build it. We maintain it. You own it.

Prebuilt semantic assets and data models, deployed to your systems — then run as a Managed Data & Intelligence Operating System. Not an hourly consulting project. Not a vendor dashboard you rent. Your proprietary layer, operated under your name.

Consultant-led

  • 18–24 month build cycle
  • Large upfront project fee
  • Knowledge leaves when the team rolls off

Hive

  • ~2 months to first certified metrics
  • No large upfront investment
  • Managed run, monitoring and continuous improvement

Deliverable

What we are building together.

A target architecture for your managed data and intelligence operating system — analytics, cowork, agents and applications, all running on a certified semantic foundation we build with you. Engineered for Snowflake and Databricks, deployed inside your cloud account.

target.hive.io/ai-/-bi-analytics
Target concept view of Hive AI/BI Analytics advisor book overview with AUM, wallet share and net flow metrics

AI / BI Analytics

Consolidated book, held-away capture and growth analytics across the enterprise — every number resolving to one certified definition.

target.hive.io/hive-cowork
Target concept view of Hive Cowork daily briefing workspace with attention queue and to-dos

Hive Cowork

The daily workspace: briefings, attention queues and to-dos assembled from governed data, with sources behind every claim.

target.hive.io/custom-agents
Target concept view of Hive Custom Agents gallery showing configurable advisor workflow agents

Custom Agents

Configurable workflows per desk — tax planning, Roth conversion, drift and rebalance — runnable, auditable and managed by us.

target.hive.io/applications
Target concept view of Hive catalog showing data sources, ownership and lineage

Applications

Enterprise applications built on the Hive semantic foundation — client portals, executive dashboards and compliance tooling.

Solutions

Reusable wealth intelligence assets.

Every Hive deployment starts from a library of industry-specific assets rather than a blank page. Compose what you need, extend what you must, and inherit every upgrade.

Composable Semantic Assets Library for Wealth

Certified metric definitions, source adapters, dashboard packs and agent blueprints modeled for wealth — org, firm, advisor and household grain.

Wealth Ontology

A governed industry entity model for households, advisors, firms, accounts, instruments and relationships — the shared language every app agrees on.

Wealth Knowledge Graphs

Connected entity and provenance graphs for lineage, impact analysis and agent reasoning across your data estate.

Services

Managed services that keep the system running.

Go-live is the start of our contract, not the end. Hive stays accountable for build, operations, monitoring and continuous improvement — under measurable service commitments.

Intelligence OS Building

Unified data foundation plus enterprise semantic and context layer construction — your proprietary intelligence operating system, built inside your environment.

Post-Launch Data Engineering Support

Ongoing pipelines, connector maintenance, data-ops and freshness management so your estate keeps pace with source changes.

Semantic Layer Monitoring & Maintenance

Certification states, metric drift, freshness SLAs and re-certification workflows — governed semantics that stay current.

Agents Monitoring & Maintenance

Agent health, run history, threshold tuning, remediation and safe rollout of new agent capabilities.

Product tour

Concept views of the system we build with you.

These are target experience views of the managed data and intelligence operating system we deploy inside your environment — not a shipped product you rent from us. Each view is designed to run on your existing Snowflake or Databricks estate, under your contracts and guardrails.

How an agent would run

Concept demo · Hive Cowork · Drift & Rebalance Agent

Advisor asks

Resolving certified metric: portfolio drift (semantic layer)
Scanning 412 households across 3 custodial feeds
Applying advisor policy and suppression rules
Drafting outreach per household

Delivered

7 households flagged
HouseholdAdvisorDrift
Whitfield Family TrustR. Alvarez8.4%
Okafor HouseholdJ. Chen6.9%
Marchetti Living TrustR. Alvarez5.3%

Drafted outreach

“Hi Ellen — your portfolio has drifted 8.4% from its target allocation after last week's move in equities. I've prepared a rebalance for your review…”

Sources: 4 certified tables · lineage attached

You own the models, the usage and the budget.

Bring your own cloud and model contracts

Billed through your agreements

Model provider

Usage guardrails

Max tokens / run8,192
Max runs / day500
Daily cost ceiling$1,200
Hard stops prevent overages without approval.

Billing

Your cloud contract

Every inference and token is charged through your existing Azure, AWS or GCP agreement — no markup, no hidden provider fees.

7-day run volume

Month-to-date$4,218.40

Consolidated book, held-away capture and growth analytics across the enterprise — every number resolving to one certified definition.

target.hive.io/analytics
Target concept view of Hive AI/BI Analytics advisor book overview with AUM, wallet share and net flow metrics

Our Team

Operators, engineers and domain specialists.

Hive is led by operators and engineers who have run data platforms at scale. We work alongside your staff as an extension of your team — not a rotating bench of consultants.

Deep experience in wealth management data and operations
Embedded operating pod assigned to every deployment
Direct access to the engineers who build your system
Schedule a 60-minute session
Lotus Li, Founder at Hive

Lotus Li

Founder

20+ years in financial services.

Christian Pecora, Co-Founder at Hive

Christian Pecora

Co-Founder

20+ years in data science and AI.

Mark Sost, CTO at Hive

Mark Sost

CTO

20+ years in enterprise software development.

Mike Sandrik, Project Manager at Hive

Mike Sandrik

Project Manager

Former Nvidia, Blizzard and Sony.

Design partner program

Schedule a 60-minute working session.

We will demonstrate our Wealth Intelligence Hub for Advisors, Operations and Compliance teams, walk through our architecture, and discuss four free scoping discovery sessions as our design partners.

  • Data estate & semantic layer discovery
  • Advisor, Operations & Compliance use-case workshop
  • Snowflake or Databricks architecture review
  • 90-day implementation roadmap

No sales deck. A working session with the people who build your system.