intelMesh
Nexus · the enterprise agentic automation platform

Enterprise agentic automation,
built for outcomes.

We turn agentic automation into measurable business results — with Nexus, our platform to discover, build, run and prove it at scale, and the expert guidance to get the complex engagements there.

See how Nexus works → Book a discovery session
Our approach

AI Automation Strategy - as-a-Service:
Enabling your team to scale more autonomously with technology

IntelMesh turns agentic automation into business results enterprises can prove — pairing an AI-native platform with hands-on delivery. We find what's worth automating, run it safely at scale, and measure the impact, then feed what we learn back into what's next. Not a one-off project — a loop that compounds.

what to build agents in production measured impact THE LOOP each pass sharpens the outcome Discover Discovery Build & run Agents Measure Observability installs algorithms + metrics installs agents PLUG-IN COMPONENTS Marketplace Pre-built workflows, algorithms & metrics
We build solutions tailored to your business — and our Marketplace of pre-built components plugs in for specific problems, so you don't rebuild what's already proven.
Streamline your discovery process

AI-Driven Discovery

Powered by the Nexus Agentic Platform
  • AI-driven interviews — structured conversations that surface every step, system and decision.
  • Streamlined to an SDD — the design assembles itself as you talk; no manual write-up.
  • Straight to the coding agents — requirements handed off directly, with no translation step.
solution-design.sdd Auto-generated
Solution Design Document

Invoice intake & matching

Process map
exception Intake Validate Match Post Exceptions
Data & systems
ERPOCREmailVendor DB
Decision points
  • 3-way match tolerance
  • Approval over €10k
  • Duplicate invoice check
→ Requirements handed to the coding agents
From prototype to production

Process Execution Agents

Powered by the Nexus Agentic Platform

An AI coding assistant gets you to a working demo in an afternoon — a skill file, a prompt, an API key in a .env. Running those agents safely on a business's systems is everything after that. That's what Nexus Agents is.

Where AI vibe coding typically stops What makes agents safe to run
Idea5 minutes
Working demoan afternoon
Productionmonths of engineering

The demo

What AI coding gets you

  • A SKILL.md and a prompt
  • A script that calls one model
  • An API key in a .env file
  • Runs on one laptop, for one person
  • No approvals, audit or spend limit
  • Works until the first bad input

The other 90% — built into Nexus Agents

Isolation & security
Sandboxed executionConnection brokerEgress & address rulesPermissions & audit
Models & cost
Model gatewayAuto-routing & failoverSpend & time capsYour own keys
Running reliably
Job runnerCheckpoints & resumeTriggers & schedulesHuman in the loop
Shipping & operating
Versioned packagesMCP & OAuthDeploy anywhereDeveloper kit
Many tenants
Tenant isolationRun history & logsRetentionOperations
Measure the impact, benchmark & refine

Observability and Explainability

Powered by the Nexus Agentic Platform

See whether it's working — live. We instrument the work we deliver, turning raw operational data into a live, outcome-denominated view — the objective scoreboard for every engagement, proof the technology is moving the business.

Signals

Raw operational data from any source, mapped to one simple format.

Events

Risks and alerts computed continuously — surfaced before something fails.

Metrics

Outcomes in plain business terms — like revenue at risk, not raw operations.

Decisions

A live view people and AI agents act on — the objective scoreboard.

AI Operations Console
Illustrative example — not client data
92%
Straight-through processing
▲ 6.2 pts
78%
Automation coverage
▲ 11 pts
−63%
Avg. cycle time vs. baseline
▼ faster
€2.4M
Revenue at risk surfaced
▲ tracked live
Automated volumeTRAILING 12 MO
Straight-through rate by stage%
95 88 72 90 98 Intake Validate Decide Fulfil Report
Cost & quality
Illustrative example — not client data

Compare model cost per task against quality to find the best value per dollar — the explainability behind every model-routing decision.

203.6
Best quality per $ — quality index ÷ blended $/M tokens
$0.22
Cheapest cost per task
84.8
Avg quality index — fleet-wide
$2.84
Frontier vs open cost / task gap
Cost per task by modelRANKED HIGH → LOW
1612840
Quality by providerINDEX 0–100
Anthropic
89
OpenAI
88
xAI
86
Moonshot
85
DeepSeek
84
z.ai
83
Cost vs qualityRANKED BY VALUE · WORST FIRST
ModelTierCost / task$/MTokQualityQuality / $Verdict
Fable 5frontier$11.78$20.66944.6Overspend
GPT-5.6-solfrontier$6.95$12.18907.4Overspend
Opus 5frontier$1.97$3.449327.0Review
Kimi K3open$1.18$2.078541.1Review
Sonnet 5frontier$1.18$2.078943.1Optimal
GPT-5.6-terrafrontier$0.83$1.458558.7Optimal
Grok 4.5frontier$0.74$1.298666.7Optimal
DeepSeek V4 Proopen$0.57$0.998484.6Optimal
← swipe to see all columns →
Industry depth

Transforming core operations across regulated industries

Domain-specific use cases where agentic AI is already reshaping how mission-critical work gets done.

Healthcare & Life Sciences

  • Clinical Trial Protocol Generation
  • Pharmacovigilance Monitoring
  • Regulatory Submission Assembly
  • Medical Literature Synthesis
  • Supply-Chain Quality Prediction

Banking & Financial Services

  • KYC / AML Onboarding
  • Trade Surveillance & Fraud Detection
  • Credit Risk Assessment
  • Regulatory Reporting Automation
  • Wealth Management Portfolio Rebalancing

Insurance

  • Intelligent Claims Triage
  • Underwriting Policy Analysis
  • Customer Interaction Resolution
  • Fraudulent Claim Detection
  • Actuarial Pricing Models Update

Tech & Cybersecurity

  • Autonomous Threat Hunting
  • Incident Response Orchestration
  • Third-Party Vendor Risk Scoring
  • Compliance Audit Preparation
  • Secure Code Review
The team

The team behind Nexus

Jordan Washington

Jordan Washington

Co-Founder

Jordan has deep experience in the intelligent automation and AI space, having led growth initiatives across Europe and the U.S. He combines a background in corporate finance with enterprise sales expertise to help organizations modernize and scale their processes.

Philippe Bosquier

Philippe Bosquier

Co-Founder

With experience as both CEO and CIO, Philippe brings deep cross-functional leadership and a global perspective on technology-driven change. He has led enterprise automation initiatives firsthand and understands what it takes to deliver transformation at scale.

Jonathan Porter

Jonathan Porter

Chief Product Officer

Jonathan pairs product strategy with hands-on engineering — architecting agentic AI automations across supply chain, finance and healthcare, and shipping production-ready solutions in weeks.

Connect with us

Ready to scale?

Tell us the process you want to prove out. We'll set up a discovery session and show you what Nexus can do.

Location
Amsterdam, The Netherlands

Prefer to talk it through? Reach out by email and we'll set up a discovery session at a time that works for you.