Atredis Partners does not publish pricing. The company quotes research and penetration testing engagements individually based on the target, scope, testing depth, and senior researcher time required. That means there is no standard Atredis Partners cost or public rate card to use for budgeting.
If you're evaluating Atredis for hardware security, embedded testing, red teaming, or application security research, the important question is not simply "How much does Atredis cost?" but what drives the engagement quote and what type of testing are you actually buying?
This guide explains how Atredis Partners pricing works in 2026, what affects the cost of specialized security testing, and how its bespoke research model compares with outcome-based pentesting from CodeAnt AI.
What you need to know first: Atredis sells senior researcher time on a scoped, point-in-time engagement, often against a specialized target. The price reflects the depth of the research and the scarcity of the expertise, and the consultants who deliver the work write the proposal. There is no self-serve entry and no published number.
What You'll Learn
This guide covers the research-engagement pricing model, the factors that drive a proposal, how specialized testing cost is structured, and how the bespoke model compares to outcome-based pricing.
How Atredis Partners Pricing Works
Atredis prices each engagement individually. Because the consultants who deliver the work also scope it, the proposal reflects the actual effort the target requires rather than a standard rate card.
The quote tracks the hours of skilled researcher time an engagement needs, which rises sharply for specialized targets like hardware or embedded systems that require benches, probes, and deep manual analysis.
This is standard for research boutiques and contrasts with the published model used by platforms like CodeAnt AI, where terms sit on the page before any conversation.
What Drives the Quote
Several factors move a research-engagement proposal.
Target type. A hardware or embedded assessment takes far more specialized effort than a standard web application, and red team engagements scope differently again.
Depth and goals. Goal-oriented adversary emulation with custom tooling costs more than a focused assessment.
Scope breadth. More systems, environments, or physical targets raise the effort.
Researcher seniority and time. The core driver is skilled researcher hours, which scarcity makes premium.
These are depth-and-specialization drivers. You are pricing a scoped block of senior research expertise. For market context, see how much a penetration test costs.
How Specialized Testing Cost Is Structured
Specialized testing like hardware, embedded, and red team work is almost always priced as a fixed-scope research engagement. There is no meaningful subscription or per-scan model for reverse-engineering a physical device.
The cost reflects the manual, expert nature of the work. A researcher on a bench with a device is not a workload that automates, which is exactly why the boutique model exists for it.
The trade-off is depth against cadence. You get genuine research depth on a hard target, point-in-time, at a price set by the effort involved.
Atredis Pricing vs Outcome-Based Pentesting
For the application-testing overlap, the sharpest contrast is a different pricing philosophy. The table shows both.
Attribute | Atredis Partners | CodeAnt AI |
|---|---|---|
Model | Fixed-scope research engagement | Outcome-based, pay per confirmed exploit |
Public price | None, quote-only | Published terms |
Entry point | Scoping and proposal | Free scan from a URL |
You pay when | The engagement is signed | A working high or critical exploit is confirmed |
Low and medium findings | Inside the engagement | Always free |
Retesting | Rescoped or rebooked | Free and unlimited |
Specialized targets | Hardware, embedded, red team | Not covered |
The takeaway is what your budget buys. A research engagement buys senior expertise on a hard target for a defined window. Outcome pricing buys continuous application testing where you pay for what is found. For the full model comparison, see CodeAnt AI vs Atredis Partners.
For specialized hardware or red team work, the research engagement is the only realistic model. For continuous application testing, outcome pricing fits the release cadence better.
Atredis Partners Pricing: Is It Right for You?
Atredis Partners makes sense when the problem requires specialist research. If you're testing hardware, embedded systems, conducting a bespoke red team engagement, or investigating an unusual target, paying for senior researchers on a scoped engagement is the right model. The cost will depend on the complexity and depth of the work.
For application security teams, the decision can be different. If your priority is continuous testing of applications and external attack surfaces, waiting for a bespoke engagement and paying for researcher time may not be the model you need. With CodeAnt teams can start with a free pentest, run code-aware black-box, white-box, and gray-box testing continuously, and pay based on confirmed outcomes rather than signing a fixed-scope research engagement. High and critical findings are charged only when a working exploit is confirmed, while low and medium findings and unlimited retesting remain free.
So the choice is simple: use Atredis when you need specialist research on a hard target; use CodeAnt AI when you need continuous, code-aware application pentesting with outcome-based pricing. Start a free CodeAnt pentest, or see the full CodeAnt AI vs Atredis Partners comparison.
