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Mariete for Enterprise

Agents that finish the work.
Tuned to your vertical.

Enterprise pace. Consultant depth. Software economics.

What Mariete is, in one line

A bench of agents, not a chatbot.

Every agent is purpose-built for a function that already exists in your organisation — strategy, finance, competitive intelligence, corp-dev, marketing, operations. You do not write prompts. You hand an agent a brief, and it returns completed work: a sourced research pack, a scenario-tested forecast, a battlecard, a campaign kit.

Deployments are scoped by vertical. Generic AI plateaus in regulated, cyclical and relationship-heavy industries; Mariete’s agents are configured against the vocabulary, cadence and risk posture of the sector you actually operate in.

Outputs carry citations back to the source document, dataset or signal they were drawn from. Every run is reviewable end-to-end. Nothing leaves the platform without a trail your teams can defend.

Where we fit today

Six verticals.
One platform underneath.

Each industry has its own vocabulary, its own cadence, its own risk posture. The agents are configured for yours. Pick the vertical closest to how you operate — what’s hard, which agents do the work, and the jobs we see run most often.

Financial services

Regulatory pressure compresses the window on every decision. Diligence, narrative control and rate-cycle scenarios are still built by hand, by analysts under deadline.

Jobs we see run most
  • Investment-committee memos and portfolio health packs
  • Policy and rate-scenario consequence mapping
  • Competitor and challenger-brand signal monitoring
  • Crisis-communications rehearsal against press and regulator archetypes
Scope a financial services pilot

Professional services

Leverage is everything and confidentiality is non-negotiable. Research, synthesis and proposal work eat the most senior hours you have.

Jobs we see run most
  • Client diligence, readiness and M&A target screens
  • Per-engagement knowledge graphs isolated from every other client
  • Privileged drafting on-device for NDA and matter-bound work
  • Proposal research, enrichment and outreach at senior-hour cost
Scope a professional services pilot

Retail & CPG

Inventory, promotion and creative all move on a weekly clock. A missed forecast or a flat campaign is not recoverable inside the quarter.

Jobs we see run most
  • SKU-level demand forecasting with promo and holiday calendars
  • Always-on campaign production with locked brand kit
  • Creative validation against synthetic ICP before media spend
  • Competitor pricing and assortment monitoring, delivered by 08:00
Scope a retail & cpg pilot

Healthcare & life sciences

Research depth, regulatory scrutiny and privacy constraints make every output a compliance artefact. “Move fast” is never an answer.

Jobs we see run most
  • Literature and evidence synthesis into temporal knowledge graphs
  • Regulatory and market-entry screening across jurisdictions
  • Policy and reimbursement consequence trees for leadership
  • On-device drafting for protected and patient-adjacent material
Scope a healthcare & life sciences pilot

Technology & SaaS

The competitive clock is daily. Content, outreach and rollout all need to move at product velocity — without losing brand voice or narrative control.

Jobs we see run most
  • Daily competitor briefings and battlecards per deal
  • Full-cycle outbound with personalised drafts and cadence
  • Landing-page and copy validation against ICP personas
  • Feature-rollout rehearsal across user and press archetypes
Scope a technology & saas pilot

Manufacturing & industrial

Demand volatility, supply shocks and market expansion rarely fit the planning cycle. Scenarios take weeks to model and are stale on arrival.

Jobs we see run most
  • Demand and inventory forecasting with supplier covariates
  • Supply-shock and policy consequence mapping for operations
  • Market-entry and partner screening for international expansion
  • Operational readiness and margin-leak reviews across sites
Scope a manufacturing & industrial pilot
The eleven agents

What each one does, at enterprise scale.

Each agent is a specialist, not a prompt template. Below is the actual behaviour of each — the enterprise jobs it gets hired for, and what you get back.

Inspector

Does the thinking.

Runs eight specialist analysts in parallel sales, marketing, finance, ops, product, HR, legal, customer success and returns a scored report across ten strategic dimensions. Findings are cited, contradictions surfaced, risks prioritised.

Enterprise use cases
  • Monthly board-prep packs compressed from a full day to ninety minutes
  • Pre-fundraise health checks two months before the pitch
  • Acquisition target screening at volume 18 targets, 20 minutes each
  • Margin-leak discovery across services P&Ls
What you get back

Scored ten-dimension report with citations · prioritised action list · PDF / Notion / Docs export

See Inspector in depth

Atlas

Market-entry intelligence.

Deploys eight agents across market size, competitive density, financial viability, regulatory friction, local buying behaviour, logistics, talent and timing. Returns a scored radar per country and a recommended entry strategy evidence-first, not a hunch.

Enterprise use cases
  • Multi-market feasibility comparisons for expansion committees
  • Regulatory screening for data-residency and domain-specific friction
  • Go-to-market localisation before any paid-media commits
  • Multi-market health checks on M&A targets
What you get back

Scored radar per market · dimension deep-dives with citations · entry-strategy playbook (JSON + PDF)

See Atlas in depth

Cascade

Map the consequences.

Six specialist reasoners economist, sociologist, technologist, political analyst, lawyer, environmental scientist fan out a consequence tree for a decision. First, second and third-order effects, each node reasoned and cited. Scenario-compare runs two futures side by side.

Enterprise use cases
  • Pressure-testing pricing or packaging changes before announcement
  • Mapping industry-shift implications across supply, regulation and hiring
  • Policy-rollout risk assessment who wins, who loses, when
  • Rehearsing pivot decisions before the strategic commit
What you get back

Interactive consequence tree · per-node reasoning and citations · scenario diff (JSON + PNG)

See Cascade in depth

Forecast

Visual time-series forecasting.

A foundation-model forecaster on a visual canvas. Data flows through cleaning, seasonality, covariates and anomaly detection. Outputs come with confidence intervals, not point estimates. Runs are forked, tweaked and compared.

Enterprise use cases
  • Rolling six-month revenue forecasts for CFO and board review
  • SKU-level inventory planning aligned to promo and holiday calendars
  • Staffing rotas that cut overtime by demand-matching by location and daypart
  • Early-warning churn detection with multi-week lead time on at-risk accounts
What you get back

Point + interval forecasts · anomaly alerts · CSV export · embed link for dashboards

See Forecast in depth

Radar

Competitive intelligence, automated.

Ingests a competitor URL and auto-builds the profile, then runs ten+ collectors across news, forums, GitHub, job boards, patents, reviews and changelogs. Delivers a three-part morning briefing and generates battlecards on demand.

Enterprise use cases
  • Pricing-change detection before your team sends the next newsletter
  • Hiring-signal intelligence new in-house AI team spotted months before press
  • M&A signal detection from hiring and communications patterns
  • Sales battlecards auto-generated for every competitive deal
What you get back

Daily morning briefing · weekly report · real-time alerts · on-demand battlecards (Notion / Gong / PDF)

See Radar in depth

Pulse

Feel your audience before launch.

Configures a hundred-plus synthetic personas matching your ICP and tests any creative ad, email, landing page, deck, name in under a minute. Returns sentiment, emotion breakdown, top objections, resonant phrases and verbatims. Compare two creatives head-to-head with segment-level splits.

Enterprise use cases
  • Ad and landing-page validation before paid-media spend commits
  • Email subject-line and cadence optimisation at sending volume
  • Product, feature and category naming pressure tests
  • Slide-by-slide pitch-deck feedback before any investor meeting
What you get back

Sentiment + emotion breakdown · top objections · resonant phrases · verbatim quotes · segment diff

See Pulse in depth

Nexus

A living knowledge graph.

Ingests markdown, PDFs, transcripts, Obsidian vaults and Notion exports into a temporal knowledge graph with nine entity types. Bi-temporal storage tracks when facts were true and when you learned them. Natural-language queries return grounded answers with source-level citations.

Enterprise use cases
  • Research synthesis across thousands of documents into one navigable graph
  • Client knowledge isolated per workspace no context bleed between engagements
  • Meeting-context buildup drop transcripts, ask any question about any person
  • Archive migration out of flat note apps into a connected, temporal view
What you get back

Interactive knowledge graph · bi-temporal timeline · grounded Q&A with source-level citations

See Nexus in depth

Simulate

Multi-agent social simulation.

Spins up hundreds of autonomous agents typed by stakeholder archetype customer, journalist, regulator, advocate each with a belief vector and social graph. Runs a scenario across simulated X, Reddit and LinkedIn. Sentiment clusters, faction formation and inflection points are surfaced in real time.

Enterprise use cases
  • Campaign-message testing by audience segment before ad spend
  • Narrative rehearsal for market entry regional tone and framing
  • Feature-rollout risk hard cut-off vs. grandfathering vs. phased
  • Crisis-communications rehearsal across response strategies
What you get back

Sentiment timeline · faction clustering map · post-level causation · strategy diff (7 / 20 / 60 days)

See Simulate in depth

Builder

Does the tasks.

Configures specialist agents lead researcher, SDR, outreach engine, support triage, content distribution that plan, execute and chain steps end-to-end across 140+ native integrations. Every run is reviewable. Runs can be scheduled or triggered by signals from other Mariete agents.

Enterprise use cases
  • Lead research and enrichment at volume before the first stand-up
  • Full-cycle cold outreach with personalised drafts, cadence and escalation
  • Weekly competitive intel delivered as a briefing at a fixed time
  • Support-ticket automation classify, resolve, escalate with draft reply
What you get back

Drafts · emails · tickets · CRM updates · reports · API calls each step auditable

See Builder in depth

Painter

AI marketing asset builder.

Brand is a first-class node logo, palette, fonts and voice are locked across a graph-based content pipeline. Brief in, on-brand images, short-form video, captions and TTS out. Brand bootstrap extracts kits directly from a URL.

Enterprise use cases
  • Product-launch campaign kits across every platform in under an hour
  • Multi-brand agency operations with strict brand isolation per client
  • Always-on social calendars at a fraction of the headcount
  • Seasonal batch refresh across hundreds of templates
What you get back

On-brand images · short-form video · captions · TTS audio · per-platform asset bundles

See Painter in depth

Edge

Your mind, extended.

Runs an on-device model entirely local no internet after setup, no telemetry, no sync. Encrypted at rest with biometric lock. Spaces partition context so confidential matters stay isolated from everything else.

Enterprise use cases
  • Confidential client work NDA’d material that never leaves the device
  • Field work with no signal drafting, analysis, reporting offline
  • Privileged legal drafting with encrypted storage and biometric unlock
  • Private research vaults for journalists, analysts and advisors
What you get back

On-device memory · grounded Q&A over local knowledge · nothing leaves the device

See Edge in depth
One runtime, eleven lenses

Agents compose. Signal in, response out.

Every product works inside the same workspace. Your company, your data, your signals — used by all eleven. One output becomes the next input.

Radar
Signal

Competitor move, sourced.

Inspector
Exposure

Revenue at risk, by cohort.

Cascade
Options

Match. Hold. Reposition.

Pulse
Message

Tested on your ICP.

Simulate
Narrative

Rehearsed across archetypes.

Builder
Execute

Shipped across channels.

Controls, on by default

The governance layer ships with every Enterprise contract.

  • SSO / SCIM · role-based workspaces
  • Audit logs retained one year
  • EU / US / UK data residency
  • Bring-your-own-model routing
Full security pack — SOC 2 Type II, GDPR, ISO 27001, HIPAA — under NDA.
How a vertical deployment runs

Discovery. Pilot. Rollout.

Deployments are scoped narrow and expanded on evidence. We do not sell a platform before a function has earned it. Most pilots run four to six weeks against live work, with cited output you can put in front of a client or a committee.

Every engagement is led by a named industry lead with a working knowledge of your vocabulary, your cadence and your risk posture.

1 week
Step 1

Discovery

A solutions lead scopes two to three jobs your vertical already staffs for. We agree success criteria and the data we need to run against.

4–6 weeks
Step 2

Pilot

We stand up a dedicated workspace, configure the relevant agents against your context, and run them weekly against live work. You see cited output, not demos.

Quarterly
Step 3

Rollout

Agents that proved value move into production with SSO, audit, residency and named support. Adjacent functions adopt the same workspace as they need it.

How to engage

Three ways to start.

Pick the path that matches where you are. Every one reaches a named contact. Response inside four business hours.

Evaluate

Book a working session

Ninety minutes with a solutions lead. Bring a real problem and we run the agents against it on your data. No slideware, no canned demos.

  1. 1Scoped agenda 48 hours ahead
  2. 2Live run on your data
  3. 3Written readout and pilot plan within 5 business days
Deploy

Commercial & procurement

Annual contract. One invoice. Every product included. Pricing is quoted on workspaces, seats and usage — not per agent. MSA, DPA and sub-processor list ready for your legal and procurement teams.

  1. 1Pricing and scoping within 5 business days
  2. 2MSA, DPA and vendor-risk docs under NDA
  3. 3Named CSM assigned at signature
Review

Security & vendor risk

For security, compliance and vendor-risk teams. SOC 2 Type II, GDPR, ISO 27001 and HIPAA documentation, sub-processor list and latest third-party pen-test — shared under NDA.

  1. 1NDA countersigned within 1 business day
  2. 2Full security pack delivered within 2 business days
  3. 3Named security contact for DD calls

Bring us a real problem.

A market decision, a board question, a forecasting gap, a campaign under pressure. Tell us your industry and we’ll run the agents against it.

sales@mariete.ai security@mariete.ai partnerships@mariete.ai