Mavrick Labs AI
Private intelligence systems for environments where outcomes matter.
Mavrick Labs AI builds private intelligence and operational decision platforms for trial teams, construction programs, and digital ecosystems. We design and deploy full stack architectures with private GPT powered tools, workflow orchestration, secure model integrations, and controlled deployment aligned to real missions, roles, and constraints.
Inside Mavrick Group, Mavrick Labs AI powers systems such as VenireIQ for voir dire, GreatCoin GR8, Token Boss, and the GR8CORE initiatives. The IntelligenceIQ Suite sits on top of this work as a family of decision engines that apply the same discipline to legal, procurement, and mission critical environments.
Who we help
We work with three main groups. Trial teams that need clearer voir dire intelligence and courtroom ready outputs. Construction and operations leaders who need better clarity, reporting, and control across programs and portfolios. Founders and ecosystem builders who want disciplined logic behind identity, access, and participation.
If the work involves high value decisions, safety, or complex coordination, Mavrick Labs AI is built for that setting.
The problem we solve
Teams struggle when signal is weak and feedback is slow.
We close the loop between data, people, and action with systems that increase clarity, speed, and control. The result is safer operations and faster delivery with fewer surprises.
Where we help first
Decision intelligence
Decision support for voir dire, hearings, and complex operations with human in the loop. Structured outputs that drive calls on strikes, risk, readiness, and priority instead of generic summaries.
Private agents and assistants
Role aligned assistants for attorneys, project managers, schedulers, and executives with tools, memory, and policy control. Front end, back end, and orchestration built to fit your environment.
Safety and risk workflows
Incident intake, checks, and alerts that turn raw field reports into structured signals. Guardrails and accountability built from the start for capital projects and live operations.
IntelligenceIQ Suite
Mavrick Labs AI IntelligenceIQ family
IntelligenceIQ is a suite of private decision engines built on the same principles that power VenireIQ. Each engine focuses on a specific class of high consequence decisions and keeps the human decision maker in command.
- Common architecture: structured inputs, behavioral or risk oriented scoring, and explainable outputs.
- Private and role aligned: deployment inside your environment with clear access boundaries.
- Designed to evolve: each new matter or project improves the way future decisions are supported.
VenireIQ for voir dire insight and strike strategy
VenireIQ is the flagship IntelligenceIQ engine for trial teams that need courtroom ready intelligence, not just background data. It combines the Juror Insight Framework with live scoring and structured outputs so attorneys can keep control of voir dire while improving clarity and record quality.
Systems operating today and selective builds in motion
VenireIQ
IntelligenceIQ flagship engine for voir dire and trial strategy with courtroom ready outputs, attorney controlled analysis, and structured support for posture and strike decisions. Built for firms that want repeatable method, not one off intuition.
iRSOMS
Industrial Risk and Safety Operations Model. A structured decision and safety methodology that improves how field information is captured, interpreted, and acted upon in complex operational environments. Originated during thirty years of capital project delivery and submitted to Quanta CEO Innovation and Entrepreneurial Awards for evaluation. Further development continues, with publication aligned to milestone and IP protections.
Internal development programs
Additional internal initiatives are in active prototyping phases focused on construction execution, readiness, and structured human performance. Details are not published until development milestones and protection thresholds are reached.
Why Mavrick Labs AI
Full stack delivery
Front end, back end, data posture, and workflow orchestration. Interfaces and logic built for real work.
Confidential by design
Selective engagements and private models. Controlled deployment aligned to role and mission.
Domain and engineering depth
Legal, safety, and industrial constraints handled from day one. Clarity over complexity.
Engagement models
Concept sprint
- One to two week rapid scoping.
- Problem framing and success metrics that match your matter or mission.
- Architecture sketch, effort, and timeline with clear decision points.
Pilot or prototype
- Focused trial with a narrow slice of work and real users.
- Guardrails, evaluation harness, and feedback loop built in from day one.
- Path to operational readiness if results hit the agreed thresholds.
Production build
- Hardened deployment with monitoring, runbook, and support model.
- Private models or your approved endpoints with identity and logging in place.
- Security, incident process, and evaluation aligned to your governance.
Frequently asked questions
Who owns the data and outputs?+
You retain full ownership of your data and all generated outputs.
We do not train public models on your data ever.
Data access, retention, and logging are all defined contractually and can be restricted to your environment.
Can you deploy on our cloud or VPC?+
Yes. Customer cloud, VPC, private endpoints, or on prem. We align to your security posture and SDLC.
What is the timeline to a first working system?+
Most clients see a functional prototype within 1 to 2 weeks during the Concept Sprint.
From there, production timelines vary based on integrations, data access, security posture, and deployment environment.
What guardrails and evaluation do you use?+
Policy checks, role based tools, optional trace logging, and regression evaluation against defined success metrics.
Can you work under NDA and with limited access?+
Yes. NDA is standard before deeper architecture or data review. We are selective and confidential by design.
Can you integrate with our internal systems and tools?+
Yes. We build private GPT architectures designed to integrate with your existing systems including document repositories, case management platforms, mapping systems, and operational workflows. Deployments support SSO, audit logging, and full access control.
What does a first engagement look like?+
We begin with a 1 to 2 week Concept Sprint to define the use case, success criteria, architecture approach, and delivery plan.
This phase is fixed scope, rapid, and does not require a long term commitment to proceed.
How do you handle data security and compliance?+
We support customer cloud environments, private VPCs, and role restricted access paths.
Data remains under your control. Logging and retention policies are contract defined.
Talk with Mavrick Labs AI
Tell us what you are building. We will share the most direct way we can help.