Tervaq iconTervaq

For enterprises & research partners

Work on the questions that matter to your business.

Tervaq works with organizations on applied AI, security intelligence, and the systems behind digital products. We start with a concrete problem, then agree on the research and engineering needed to address it.

Where we can contribute

Research depth.
Practical outputs.

Work directly with a research and product company. We focus the engagement on decisions and deliverables your team can use, rather than an open-ended list of services.

Applied AI research

Explore where AI can help in your product or operations. Assess the workflow, prototype a focused solution, and evaluate usefulness, reliability, and human oversight.

Example engagement output

A research brief, evaluation criteria, and a prototype or technical recommendation, as agreed.

Security & fraud intelligence

Investigate an abuse pattern, review evidence, or assess a sensitive workflow. Authorized testing and remediation validation can be scoped alongside your internal teams.

Example engagement output

An evidence-led findings report, risk priorities, and an agreed validation record.

Intelligent systems engineering

Research the integration of context, memory, permissions, and automation across your software. Define how the system should behave before expanding what it can do.

Example engagement output

A system design, scoped implementation or prototype, and a documented handover.

Inside our Security Intelligence practice

Ways to work together

Choose the structure
that fits the question.

All commissioned work is paid. Pricing depends on scope, complexity, access requirements, and the agreed deliverables. An initial inquiry does not start an engagement or authorize testing.

Defined project

Focused assessment

A specific research question or risk, a bounded scope, and agreed deliverables. Suitable for an initial investigation or an independent review.

Fixed project fee agreed before work begins.

Milestone-based

Research partnership

A longer collaboration on applied AI, security controls, or complex workflows. Work is divided into reviewable milestones with clear ownership.

A paid statement of work with milestones and acceptance criteria.

Ongoing engagement

Intelligence retainer

Research and briefings around an agreed set of threats, products, or markets. Coverage, review cadence, and escalation arrangements are set together.

A recurring fee for the agreed scope and service level.

How the work runs

Keep the work reviewable.

We define the question before the investigation, agree on access before testing, and make the limits of the result as clear as the findings.

  1. Define the question

    Agree on the problem, scope, evidence needed, and what a useful answer looks like.

  2. Investigate and test

    Examine the evidence and run authorized experiments. Keep assumptions separate from findings.

  3. Deliver and review

    Explain the result, its limitations, and the changes worth making. Review the next steps together.

Engagement governance

The details belong
in the agreement.

A project should be clear enough for procurement, engineering, and security teams to understand what is being commissioned and what is not.

Scope and acceptance
Research questions, deliverables, review milestones, exclusions, and acceptance criteria.
Access and confidentiality
Written authorization, approved environments, confidentiality terms, and evidence-handling arrangements.
Data and AI use
Agree which data and tools may be used. Sensitive client material is not input to external AI services without authorization.
Commercial terms
Fees, payment schedule, intellectual property, retention, and handover requirements agreed before work starts.

Work with Tervaq

Start with a useful conversation.

Share your organization, the problem, and the outcome you need. We will discuss fit and propose a scope—not begin unapproved work.

Discuss an engagement