nVeris AI Engineering Services

From continuous context to deployed intelligence.

Build faster. Own the context. Avoid model lock-in.

Extend your nVeris model into production AI, analytics, automation, and specialized intelligence—using the data, systems, and AI investments you already have.

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Enterprise Intelligence Stack

Add operating context to the analytics and AI you already own.

Start with public context. Add governed enterprise knowledge and secure access as you scale. nVeris sits between your data and the analytics and AI investments your teams already use.

The nVeris context layer, from source models to portable context Three inputs feed the continuous-state model: a public model of public sources and approved external knowledge; a governed enterprise model of private documents and structured or unstructured data; and secure enterprise access via SSO, IdP, VPN and private connectivity. The model holds workflows, constraints, economics, performance, outcomes, and customer and market context. It delivers out to analytics and BI tools, to AI and agents over MCP and API, and as portable governed context. CONTEXT LAYER Continuous-State Model Workflows · Constraints · Economics · Performance Outcomes · Customer + Market Context 01 · Public Model Public Sources + Approved External Knowledge 02 · Governed Enterprise Model Private Documents + Structured / Unstructured Data 03 · Secure Enterprise Access SSO · IdP · VPN · Private Connectivity Analytics + BI Tableau · Power BI · Databricks · Snowflake · Enterprise Dashboards AI + Agents MCP · API · MD / JSON · Frontier Models · Private / Local AI Portable Context Analytics API · Model Outputs · Governed Context

Applied AI Engineering

Extend the model into high-value intelligence.

Workflow + Agent Automation

Turn validated context into specialized automation and agents.

Financial + Portfolio Intelligence

Model performance, portfolio outcomes, and emerging rating signals.

Sales Intelligence

Connect customer, product, market, and operating context.

Supply-Chain Models

Connect suppliers, dependencies, constraints, and operating outcomes.

Competitive Analytics

Model competitors, market movement, and commercial signals.

Engineering Services

One context layer. Three ways to extend it.

The continuous-state model holds operating context across the full value network: live workflows, ranked constraints, validated economics, and domain knowledge that stays current as conditions change. Engineering Services connect that context to the tools already in place.

Connecting governed sources into an nVeris model Governed data, enterprise systems, market analytics and domain knowledge each connect into an nVeris model in turn. Every source is validated on arrival, and model fidelity rises one step with each connection. nveris/model sources Governed data Enterprise systems Market + analytics Domain knowledge Model fidelity

01

Model + Data Engineering

Connect governed data, enterprise systems, market context, analytics, and domain knowledge to higher-fidelity nVeris models.

Validated operating context branching into intelligence outputs One validated operating context distributes down a spine and branches out into six intelligence outputs: sales, competitive, supply chain, financial, portfolio and specialized. Each output comes online in turn. nveris/model context Sales Competitive Supply chain Financial Portfolio Specialized

02

AI + Intelligence Engineering

Turn validated operating context into sales, competitive, supply-chain, financial, portfolio, and specialized intelligence.

Automation running against approved models Agents, workflow automation and software engineering each run in turn from an nVeris runtime. As each one starts, the model router selects the approved model it will run against: frontier, open-weight, or local and private. nveris/model runtime Agents Workflow automation Software engineering Frontier Open-weight Local / private

03

Automation + Private AI

Extend context into agents, workflow automation, software engineering, and approved frontier, open-weight, local, or private AI.

Model-Independent by Design

Your data stays useful. Your BI gets richer. Your AI gets context.

Use nVeris APIs, MCP, and portable model context with existing and future analytics and AI providers—without tying your operating intelligence to a single model vendor.

Workflow Visuals
Model Exports
Constraint Analysis
Scenario Outputs
Solution Backlog
Investment Case

Deployment + Trust

Enterprise + Public Sector Trust

nVeris is Tradewinds Awardable. SOC 2 controls, governed deployment options, and security and architecture materials are available to qualified organizations.

SOC 2 BadgeTradewinds AI BadgeSAFe Certified Platform Provider

AI Engineering Services

Turn operating context into deployed intelligence.
Start with a strategic challenge. Extend the model into the analytics, intelligence, and AI capabilities that matter most.
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