Agents built by us and by our partners, stacked into one catalog. Run the self-serve ones yourself in a browser, right now. Watch the rest do the job on video.
Real-time market trends, SEO openings, and niche opportunities — synthesized into an executive brief.
Turns raw survey and review text into prioritized themes, feature gaps, and UX friction.
Profiles rivals from public signals and surfaces concrete differentiation tactics.
Lean Canvas, MVP prioritization, and validation surveys to de-risk an idea.
Pitch framework, target investor list, and financial projections for the raise.
Role-to-milestone map, job descriptions, and a runway-aware hiring timeline.
SOPs, Kanban boards, and onboarding flows tuned to the business type.
Chart of accounts, monthly close checklist, and a right-sized software stack.
Root-cause analysis and ranked solutions for a specific business challenge.
Startup-program eligibility, CRM setup steps, and first-week quick wins.
18-month cash-flow model, runway scenarios, and a working budget.
SWOT, go-to-market, pricing, and a 90-day market-entry plan.
The whole platform arc in one walkthrough — about four and a half minutes, stitched from six real capability clips rather than a mockup.
Security, control and governance infrastructure for autonomous AI — discovery, policy enforcement, identity and compliance monitoring across every agent you run.
Inline guardrails on every agent — egress control and blocked attacks, enforced on the call itself rather than reviewed after the fact.
Catches a rogue agent before it acts, by baselining normal behaviour and surfacing drift as findings.
Routes, governs and costs every model call from one place, with routing rules and per-model performance in view.
Governed tool calls over MCP — a real agent registers, queries, and has a destructive call blocked inline.
Stops a rogue agent mid-conversation and restores it on command. RuntimeAI states enforcement in under 50 milliseconds.
One rollup of security, compliance and cost for the people who do not open the console daily.
Module gating and live entitlement upgrades — a real 402, an upgrade, and a 200 on the same tenant.
Explains why an AI workload cost what it cost, down to cache efficiency and cost per outcome.
Inline tokenization of personal data — a real agent tokenizes and detokenizes PII on a live round trip.
A hard per-agent spend cap that actually throttles, rather than a budget alert after the money is gone.
An identity registry for agents, with dashboard KPIs and a hash-chained audit black box behind it.
Agent recall with no PII and no poisoning — storing, retrieving, and rejecting a real memory-poisoning attempt.
Register an agent in Python, TypeScript or Go and get the same governance either way.
Post-quantum security running today — real ML-KEM-1024 and ML-DSA-87 keys, created and rotated.
The full agentic e-sign round trip — send, sign and complete on a live tenant.
Governs a GPU platform before you build it — backend registration across tiers, two-level tenancy, and a real noisy-neighbour alert.
A GPU storefront governed from signup to first token — self-service, approval routing and capped usage.
Finds the gaps in an AI stack before an attacker does — 77 attack scenarios, a coverage heatmap and a findings report.
A local llama.cpp stack with zero data egress — real round trips, nothing leaving the box.
Routes work across H100, standard and economy tiers, with real tokens-per-second timings for each.
A real voice conversation on the live site widget, governed on every single turn.
An AI sales team that is governed by default — identity, PII, fraud and audit supervision on every agent.
One pane over an AI-run revenue engine, with full-funnel visibility across the pipeline.
Continuously finds exploitable vulnerabilities, generates the fix as a pull request, and verifies the patch works before it ships.
An AI web application firewall that learns to detect and block malicious HTTP requests without hand-written rules.
An always-on intelligence layer that replaces manual tender-tracking with autonomous monitoring and qualification, built for how B2B and B2G tenders are actually published and evaluated.
Omnichannel B2B trading of industrial and corporate consumables — MRO, office supply and housekeeping essentials — run as one indirect-procurement platform.
An AI-native CRM that reads the context out of every email, call and meeting instead of asking a rep to type it in, and runs the revenue job through specialised AI teammates.
Every change arrives by pull request and passes four sets of automated checks. A person reviews it and a person merges it — that step is never given to a machine. After the merge the application ships itself.
Each pull request gets its own disposable, access-controlled copy of the site.
