From AI spend to AI returns.

AI fluency for every team. FinOps for your AI spend. Model portability, not lock-in — frontier, sovereign, or open source.

The state of enterprise AI, 2026

The spend is real. The returns are not.

AI budgets doubled this year. Most companies have nothing to show for it.

59%
of companies spend over $1M/year on AI
29%
see significant ROI from generative AI
82¢
of every AI dollar lost to rework
8%
of US employees use AI daily

Writer 2026 (n=2,400) · McKinsey 2025 (n=1,993) · Gallup US workforce panel

The adoption gap

Engineering teams
90%
White-collar average
27%
Individual contributors
16%
Daily active use (US)
8%

Stanford HAI · Gallup 2025

Paying for AI, using a sliver of it

Seats bought company-wide, adoption outside engineering at 27%. Super-users get 5× the productivity from the same platforms everyone else ignores.

Nobody owns AI and no budget to hire someone who does

Midsized companies lack dedicated AI teams. The platform and the expertise should not require one.

The bill climbs and the invoice explains nothing

No routing, no measurement. Every task hits the priciest default model and nobody can prove any of it worked.

Engineering adopted. Everyone else did not.

51% of developers use AI daily. White-collar average: 27%. Individual contributors: 16%. The platforms work — most people cannot get them to.

The platform

Four capabilities. One platform. One contract.

They share the same context and the same scoring. Buy them from four vendors and you end up with four dashboards and no answer.

01

AI Fluency

Prompts, skills and workflows from plain intent. Reusable by the whole team. Capability by doing, not by course.

02

AI FinOps

Cost and token burn tracked by team and service. Semantic routing to the best-value model for every job. One dashboard across all AI spend.

03

AI Quality

Anti-slop and anti-hallucination scoring on every artifact. Evals on everyday work — 16 dimensions, every output.

04

AI Governance

Model portability, never lock-in — frontier, sovereign, or open source. Authorized skills, models and spend controls. ROI per artifact vs the human baseline, audit-ready from day one.

Shared layer Context & Memory Individual + team context composing into every generation

Products

The platform to get you there.

AI Quality · Live

Zero Slop

Detect, rewrite, and verify AI content

Scores AI-assisted writing 0–100, points at the exact words dragging it down, rewrites them, and verifies every fact stayed in. Open source, MIT, one line to install.

Learn more
FDE

Meridian

Embedded engineers. Proven ROI.

Engineers embed with your team, identify high-value workflows, transform each into a governed and scored skill, and prove ROI before a full rollout. The product does 80% of the work.

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Same models. Very different results.

The difference was never the AI model. It was always the system around it.

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