Regulated industry solutions

Sector-specific AI workflows for teams that need governance, proof, and deployment control.

Explore industry pages built around actual operating models: cited research, audit-ready reporting, clearance-aware access, and IT-managed integrations with trusted data sources and supported apps.

Talk to the enterprise team Dedicated & org pricing All plans

What stays consistent

One workflow promise per industry, not a collage of product surfaces.

One static proof image that shows the feature directly.

One clear path into the deeper industry page and related tutorials.

Governance stays visible throughout: audit logs, clearance-aware access, trusted-source controls, and managed deployment options.

Launch industries

Pick the industry page that matches the workflow you need to prove.

Each card below leads with the workflow, shows the static proof image directly, and links into the deeper industry page and supporting tutorials.

Legal

Governed legal workflows

Help partners, paralegals, and legal ops teams monitor matters, draft with internal context, and keep sensitive work inside auditable, matter-scoped workflows.

Legal dashboard screenshot showing document review, matter summaries, a filings table, and reviewer notifications.

Dashboard shown

Legal dashboard with drafting, summaries, and review queues

A legal dashboard showing the active draft, matter summaries, a filings table, and the reviewer notification pipeline.

Primary roles

PartnersParalegalsLegal OpsIT and Security

Workflow focus

Cited research, confidential drafting, matter-level controls

Healthcare dashboards that cut admin work

Help compliance leaders, clinical ops teams, analysts, and IT owners build tryelisai dashboards for prior auth status, denial review, reporting cadence, SOP updates, and exception routing without losing deployment control.

Samples of healthcare dashboards created in tryelisai showing automation cards, denial and prior-authorization tables, report summaries, and notification routing.

Dashboard shown

Samples of healthcare dashboards created in tryelisai for reporting, denials, and exception routing

Samples of healthcare dashboards created in tryelisai that automate recurring reporting, surface denial and prior-authorization queues, summarize policy updates, and route exceptions to the right reviewers.

Primary roles

ComplianceClinical OpsAnalystsIT and Security

Workflow focus

Prior auth, denials, recurring reporting, privacy-aware controls

Governed plant and supplier workflows

Help operations leaders, quality teams, procurement, and IT or OT owners standardize reporting, refine SOPs, and connect internal systems inside enterprise controls.

Manufacturing dashboard screenshot showing shift summaries, supplier alerts, status tables, and escalation notifications.

Dashboard shown

Manufacturing operations dashboard with alerts and summaries

An operations dashboard showing plant summaries, supplier and quality tables, trend signals, and the notification pipeline for escalation.

Primary roles

OperationsQualityProcurementIT and OT

Workflow focus

KPI reporting, supplier monitoring, connected internal systems

Stop getting surprised by your AI bill.

Uber burned their entire 2026 AI budget in four months. Microsoft canceled Claude Code licenses for thousands of engineers. The all-you-can-eat era of AI just ended — every major vendor is repricing toward consumption-based billing at exactly the moment enterprises are discovering their consumption is uncontrollable. Elis AI is built so that success doesn't punish you.

$3.4B

Uber's 2026 AI budget — burned in 4 months

10–100×

Cost difference: frontier model vs SLM per 1K tokens

90%

Token reduction in Elis internal tests using right-sized models

Pillar 1 — On-site deployment

Your servers. Your data. Your energy bill — that's your entire AI cost.

For regulated enterprises with their own infrastructure, on-site deployment eliminates the token meter entirely. No per-call charges, no usage overages, no surprise invoices. Deploy once, run forever. The more your team uses it, the better the ROI gets — instead of the worse, as is currently the case at Uber and Microsoft.

Break-even point: On-premises deployments with high-volume processing typically reach break-even within a few months of infrastructure cost.

Pillar 2 — SLM routing

The right model for the right task. No premium tokens wasted on routine work.

Elis routes tasks to the smallest, cheapest model capable of completing them well, escalating only when complexity demands it. For high-volume, repetitive governed tasks — prior auth summaries, legal document drafting, KPI reports — purpose-built small models don't just cost less, they often outperform frontier models. Complex reasoning gets frontier-level inference only when it's actually needed.

Industry term: Model routing — the defining architectural pattern of the next phase of enterprise AI, now validated by Gartner as the correct direction.

Honest competitor comparison

We include ourselves in this table. Transparency on where we lag matters more than a one-sided win column.

Competitor	Strengths	Weaknesses	Cost model	Where Elis wins	Where Elis lags
Microsoft Copilot	Deep Office 365 integration, brand trust, massive distribution	Just proved costs spiral uncontrollably; Microsoft canceled Claude Code licenses internally	Per-seat + usage — transitioning to token-based Credits June 2026	On-site option; 90% cheaper for regulated workflows; audit trails built in	Far smaller ecosystem; no Office integration; less brand recognition
IBM Watsonx	Enterprise credibility, compliance heritage, large sales org	Expensive baseline, still token-based inference, slow to deploy	Enterprise contract — still consumption-based inference underneath	Faster time-to-value; accessible mid-market pricing; modern UX	IBM has decades of regulated-industry trust Elis hasn't earned yet
Harvey AI	Strong legal AI brand, proven with top law firms	Legal-only, no on-site option, premium per-seat pricing	Premium per-seat SaaS	Multi-industry; on-site deployment; more accessible pricing	Harvey has deeper legal-specific model training and elite firm endorsements
Palantir AIP	Proven for government and defense, deep workflow customization	Six-figure contracts, cost-prohibitive for mid-market	Six-figure enterprise contracts	Accessible to mid-market; faster deployment; no six-figure commitment	Palantir has proven government clearance deployments Elis hasn't matched
Nightfall	Strong DLP and data classification capabilities	No workflow layer; still dependent on cloud LLM costs	Per-seat SaaS	Full workflow layer + governance; on-site option; SLM cost architecture	Nightfall's DLP depth and integrations exceed what Elis currently offers
Elis AI	On-site = energy only; SLM routing = 90% token reduction; audit-ready; mid-market accessible	Early-stage; smaller ecosystem; fewer pre-built integrations	On-site: energy cost only. Cloud: SLM-routed, predictable billing	This is us — predictable, governed, affordable at scale	Smaller ecosystem, less brand recognition, fewer integrations than established players

Market timing

AI coding tools are becoming less like Netflix and more like cloud infrastructure. More local and hybrid execution, because offloading some work is becoming economically rational. Elis AI is already where the market is being forced to go.

Dedicated & on-site hosting — pricing comparison

What dedicated deployment actually costs across vendors.

Most enterprise AI vendors hide their on-site pricing behind sales calls. We put ours — and theirs — on one table so you can walk into that call prepared.

Provider	On-site available	100-user / month	Annual cost	Setup / impl. fee	Contract minimum	On-site cost driver
Microsoft Copilot	Cloud only	$3,000/mo	$36,000/yr	None	Monthly	Token credits — repricing June 2026
IBM Watsonx	Yes	$4,000+/mo est.	$50,000+/yr	$20K–$100K	Annual	Consumption-based inference still underneath
Harvey AI	Cloud only	$10,000+/mo	$120,000+/yr	None	Annual	Premium per-seat SaaS, legal-only
Palantir AIP	Yes	$40,000+/mo est.	$500,000+/yr	$100,000+	Multi-year	Six-figure enterprise contracts
Nightfall	Cloud only	$2,000+/mo	$24,000+/yr	None	Annual	Per-seat cloud SaaS
Elis AI (Cloud)	Cloud only	From $800/mo	From $9,600/yr	None	Monthly	SLM-routed — 90% token reduction
Elis AI (On-site)	Yes	~$200–800/mo energy*	~$2,400–9,600/yr energy*	One-time setup fee	None — you own it	Energy cost only. No token meter.

* On-site energy estimate based on typical GPU server draw (~500W) at $0.10/kWh for an 8-GPU node running 24/7. Competitor figures are public estimates as of 2026.

Full pricing breakdown Get an on-site quote

Implementation ready

Start with the launch sectors, then scale the motion without rewriting it.

The industries surface now supports proof-backed launch pages, role matrices, and future sector expansion inside one shared content architecture.

Start free Plan an enterprise rollout