Dry Ground AI Reviews — Pricing, Features & The Honest Take

Before anything else: Dry Ground AI is not software you can buy. It is a consultancy. There is no pricing page, no plan, no free tier and no trial — the only call to action on the entire site is a 45-minute Calendly booking. If you arrived expecting to compare tiers, there is nothing to compare. What you can do instead is read what the firm publishes about itself, and the most useful number on the site is one it never states directly: add up its own per-industry counts and the published track record comes to 19 engagements.

• What it is: An AI consultancy that pairs Lean Six Sigma process work with custom AI builds.
• Best for: Mid-market operators who want AI deployed into a process, not another SaaS tab.
• Pricing: None published anywhere. Quote-only, via a booked call. Verified August 2026.
• The honest catch: You cannot evaluate cost, and the track record is early.

What Is Dry Ground AI?

Dry Ground AI describes itself as building “AI-native companies” — embedding AI department by department rather than selling a tool. Its distinguishing methodological claim is that Lean Six Sigma comes first: optimise the process, then automate it. That ordering is the right one and is more than most AI consultancies bother to say out loud.

Alongside the services sit three named products:

• CompanyClaw — a private, autonomous “AI operator” for executives that runs calendars, triages inboxes, generates briefings and takes action across systems. Built on OpenClaw.
• Nexa — described as a SaaS platform for other AI consultancies, generating proposals, SOWs and architecture documents from the firm’s own delivery frameworks.
• The Dry Ground Stack — the internal infrastructure layer (CORTEX, SENTINEL, CONVERGE) underneath the rest.

The Findstack listing carries no user reviews, so everything below comes from Dry Ground AI’s own published material, read closely.

How Dry Ground AI Works

The service is organised into four offerings. AI Consulting is assessment and roadmapping. AI Velocity is the delivery engine — department-by-department deployment in 90-day outcome cycles, across what the site calls six tiers from pilot to full enterprise transformation, though those tiers are not itemised anywhere. Adaptive AI Management is the ongoing run-and-optimise contract afterwards. Custom AI Solutions covers voice agents, multi-agent systems and bespoke application development.

The design philosophy is stated as three principles — adaptive, agentic, ambient — with the last being the interesting one: the claim that good AI stops feeling like another SaaS tool. Whether a given firm delivers that is not knowable from a website, but it is at least a testable promise rather than a vague one.

There is also a data sovereignty position: Dry Ground says it runs its own AI infrastructure and builds the same for clients, with no shared endpoints and no third-party access to client data. For regulated buyers that is a material differentiator from consultancies that wire everything through a commercial API.

What Dry Ground AI Costs

Nothing is published. Not a day rate, not a project floor, not a retainer band, not a starting price for CompanyClaw or Nexa. The Try Nexa button on the product page leads to no price. The consultation link resolves to a Calendly page for a 45-minute call.

For a consultancy this is normal and not, in itself, a criticism — scoped work genuinely varies. But it does mean a buyer cannot do the thing this review usually does. So here is the substitute: what the site does quantify.

The verticals page lists an engagement count against each industry. Summed, they come to 19:

That is the single most decision-relevant fact available, and it cuts both ways. Nineteen engagements is a young firm — you would be an early client, with everything that implies about attention and about risk. And more than a third of that work sits in real estate and property management, so if you are in that sector the relevant experience is concentrated; if you are not, be specific in the call about what they have actually shipped in your domain.

What you can and cannot verify

• You cannot verify a single client. Four case studies are published with concrete outcome figures — an 8-figure annual cost avoidance, a 99% cycle-time reduction, a 95%+ ticket lead-time reduction, a 38% inventory reduction — but none names the company. The testimonials give first names and initials only.
• The headline benchmarks are honestly labelled. The “20–50% efficiency increase / 10–35% customer satisfaction / 10–20% revenue growth” figures on the home page are marked as 2025 industry benchmarks, not as Dry Ground’s own results. Many firms blur exactly that line; this one does not.
• The “only 5% are AI-native” claim is uncited, as is the “5x revenue increases and 3x cost reductions” attached to it. Treat as marketing.
• The research is unusually checkable. The Research Lab publishes work with specific, falsifiable detail — a model benchmark across 1,364 chemicals of handwritten scans, a +18.4% average improvement applying gradient descent to agent skill files, 32 tests against Gemma 4. Publishing numbers precise enough to be wrong is a better credibility signal than any case study without a client name.

What actually decides your cost

Since none of it is published, these are the questions to take into the call:

• The scope of one 90-day cycle, in money, and what a “tier” contains.
• Whether Adaptive AI Management is a separate retainer and what it runs monthly after deployment.
• Whether CompanyClaw and Nexa are licensed separately from the services, and on what basis.
• Who owns the resulting systems and models, given the sovereignty pitch — infrastructure you control is only meaningful if the IP follows.
• Two named references in your industry. With 19 engagements, they exist and can be produced.

Who Should Use Dry Ground AI

Dry Ground fits a mid-market operator with a real process problem who has already concluded that buying another SaaS tool will not solve it. The Lean-Six-Sigma-first sequencing is genuinely the right way round, and a small firm at 19 engagements will give a client far more senior attention than a large one would. Property management and real estate operators get the strongest match on demonstrated experience.

Dry Ground fits badly if you want software you can trial, budget and switch away from. It also fits badly if your procurement requires named references from public case studies before a first call, because none are published — you would be asking for them cold.

Honest Pros and Cons

What works well:

• Process before technology. Lean Six Sigma first is the correct ordering and is stated as a hard rule rather than a nice-to-have.
• Genuinely substantive published research, with specific numbers and named models rather than thought leadership.
• A clear data sovereignty position — own infrastructure, no shared endpoints — which matters for regulated buyers.
• Industry benchmarks are labelled as industry benchmarks, not passed off as the firm’s own results.
• Engagement counts are published per vertical, which is more transparency about scale than most consultancies offer.
• A small firm means senior attention, which is often the real difference in consulting outcomes.

What to watch:

• No pricing of any kind is published, for services or for either product.
• 19 published engagements is an early track record; you would be an early client.
• No client is named anywhere, and testimonials carry first names and initials only.
• The concentration is narrow — seven of nineteen engagements in one vertical.
• The “six tiers” of AI Velocity are referenced but never itemised.
• The 5%-are-AI-native statistic is uncited.
• No Findstack user reviews, so there is no independent read at all.

Dry Ground AI Alternatives and How It Compares

The real alternative to a consultancy is usually not another consultancy — it is deciding to build it yourself on tooling:

• n8n is the closest self-build option for teams with engineering capacity, self-hostable and therefore compatible with the same sovereignty argument.
• Lindy covers the agent-that-does-work brief that CompanyClaw is aimed at, as a product you can trial today at a published price.
• Browse AI handles the narrower extraction and monitoring jobs that often turn out to be the actual requirement behind an “AI strategy.”
• Larger AI consultancies — the Big Four practices and specialist firms like Slalom or Thoughtworks — bring hundreds of engagements and named references, at correspondingly higher rates and with far less senior attention per pound.

The honest comparison: if you can name the workflow you want automated, buy a tool and skip the consultancy. If your problem is that you cannot name it, a firm that insists on process mapping before deployment is the right kind of firm — and then the question is only whether this particular one has done it in your industry.

The Verdict

Dry Ground AI is a credible small consultancy with a defensible methodology and a research output better than its size would suggest. Sequencing process optimisation ahead of AI deployment is correct, the sovereignty position is real, and labelling industry benchmarks honestly is a small tell that the firm is not trying to mislead you.

But this is a listing without a product. There is no price to evaluate, no trial to run, and no named client to call. What there is instead is a published count of 19 engagements, concentrated in one vertical, and a booking link.

Treat the call as the evaluation. Go in with the five questions above, ask for two references in your industry, and ask what one 90-day cycle costs before anything else. If the answers are specific, this is a reasonable firm to work with early. If they are not, you have lost 45 minutes and learned the thing the website could not tell you.

FAQ

How much does Dry Ground AI cost?

Dry Ground AI publishes no pricing at all — no day rate, no project minimum, no retainer band, and no price for its CompanyClaw or Nexa products. The only route to a number is a 45-minute consultation booked through the site. Ask specifically what a single 90-day AI Velocity cycle costs, and whether ongoing Adaptive AI Management is a separate monthly retainer.

Is Dry Ground AI software or a consultancy?

A consultancy, primarily. It sells AI Consulting, AI Velocity delivery, Adaptive AI Management and custom builds. It does also develop products — CompanyClaw, an autonomous AI operator for executives built on OpenClaw, and Nexa, a platform sold to other AI consultancies — but neither is priced publicly, and the site’s only call to action is to book a call.

How large is Dry Ground AI?

Its own verticals page lists engagement counts by industry: 7 in real estate and property management, 4 in technology and SaaS, 3 in life sciences and manufacturing, 2 each in construction and RegTech, and 1 in enterprise and franchise — 19 in total. That is an early-stage track record, and it is concentrated: more than a third of the published work is in a single vertical.

Does Dry Ground AI name any of its clients?

No. Four case studies are published with specific outcome claims, including an 8-figure annual cost avoidance and a 99% cycle-time reduction, but none identifies the client. Testimonials are attributed by first name and last initial with a job title. If named references matter to your procurement, you will need to request them directly.

What is CompanyClaw?

CompanyClaw is Dry Ground AI’s flagship product: a private, autonomous AI operator for executives and department heads, built on OpenClaw, that the firm says runs calendars, triages inboxes, generates briefings and executes workflows across a business rather than waiting for prompts. It is not separately priced on the site, and there is no trial or demo route published — access appears to run through the same consultation process as the services.