Now Generally Available — Enterprise AI FinOps
Your AI costs are scaling out of control.
Meridian brings them back.
The Enterprise AI Control Plane. One gateway to instrument, measure, visualize, and optimize every LLM call across your entire estate — in production, in one week.
30-60%
Cost reduction with
Datacolor GSR
1 wk
To full spend
visibility
100%
Spend attribution
by agent, team, task
100+
LLM providers
unified in one gateway
The Problem
AI spend is the fastest-growing cost center with the least financial controls.
Cloud costs have mature FinOps disciplines. AI API costs do not. The gap is widening quarter by quarter.
01
Runaway, unattributed spend
Costs compound 30–50% quarter-over-quarter with no linkage to teams, workloads, or use cases. Finance cannot charge back what it cannot see, and the business cannot cut what it cannot find.
30–50%
QoQ growth with no
visibility controls in place
02
Agentic workloads are the cost spike
Multi-step agents are the fastest-growing and most token-intensive workload class.
At 166,000+ input tokens per turn, a single production agent can cost thousands
per month — and most organizations have dozens running.
166K+
tokens/turn common in
production agentic workflows
03
Spend is invisible across the estate
Direct API calls, multiple cloud providers, and coding agents all fall outside standard cloud billing. There is no single, real-time view of what your AI infrastructure actually costs — until the invoice arrives.
$0
visibility outside cloud
billing for direct API & agent spend
billing for direct API & agent spend
04
Premium model waste is structural
Developers default to frontier models because it is the path of least resistance.
A significant fraction of production workloads — simple completions, repetitive queries, retrieval tasks — run on premium models that deliver no incremental quality for the cost.
A significant fraction of production workloads — simple completions, repetitive queries, retrieval tasks — run on premium models that deliver no incremental quality for the cost.
Uncapped
overspend with no mechanism
to catch premium model misuse
The Solution
The Enterprise AI Control Plane
Meridian sits between your agents and every LLM — a thin gateway layer that captures, measures, and optimizes every call without changing how your teams build.
Instrument
Every AI call captured, tagged by agent, task, workload, and department — automatically.
Measure
FinOps metrics at any granularity — from total estate to individual API call.
Visualize
Dashboards calibrated for the CFO, Finance owner, and developer — one source of truth.
Optimize
Four levers — routing, caching, right-sizing, and the GSR reasoning layer — applied where they pay off most.
Gateway
Universal provider routing
One endpoint to OpenAI, Anthropic, Google, Azure, AWS Bedrock, and 100+ others. Virtual keys with spend caps, rate limits, and auto-revoke. Automatic failover and load balancing. MCP and A2A support built in.
Intelligence
Datacolor GSR - Reasoning Layer
A neuro-symbolic decomposition layer between your app and the LLM. Adapts reasoning depth to task complexity — rigorous on hard tasks, lean on simple ones. Peer-reviewed benchmarks:
30-50% token cost reduction, 60-80% fewer reasoning errors on agentic tasks.
30-50% token cost reduction, 60-80% fewer reasoning errors on agentic tasks.
Governance
Enterprise audit & compliance
Full audit trail to user, team, and project. RBAC on premium model tiers. SOC 2 support and SIEM-ready exports. Encrypted credential vault — agents never see real API keys. Zero data egress, air-gapped capable.
Integration
Change the endpoint.
Nothing else.
Most integrations complete in under 4 hours. No agent
re-architecture. No prompt re-work. No new infrastructure.
re-architecture. No prompt re-work. No new infrastructure.
Framework-agnostic
OpenAI-compatible API
VPC & on-prem capable
Air-gapped deployment
Kickoff and baseline
Datacolor engineers capture your current spend baseline within 24 hours of kickoff. No agent code changes, no security review required.
Instrument your estate
The gateway is configured for your model × cloud combinations. Agent metadata model maps costs to departments and accounting codes.
Activate optimization levers
Intelligent routing and semantic caching activate
first — immediate savings. GSR layer is activated on highest-spend agentic workloads for peak impact.
Deliver a defensible ROI number
A measured before-and-after comparison on your real workloads. Finance-ready chargeback reporting from day one. POC to production in two weeks.
Business Outcomes
What you actually get
Eight concrete outcomes. Each attributable. Each measurable within your first 30 days.
Full cost visibility
Every AI dollar attributed to the team, project, user, model, and environment that generated it. No more AI cost black boxes.
Eliminated surprise bills
Proactive budgets, hard-stop limits, and real-time alerts prevent runaway agents and overnight batch job overruns.
Budget predictability
Finance gets reliable monthly AI cost forecasts. Leadership sees cost-versus-velocity trends across the full engineering organization.
Optimized model usage
Self-improving routing, context compression, and semantic caching deliver lower cost per feature shipped without quality regression.
Responsible agent scaling
Deploy Claude Code, Aider, OpenHands, and custom agents across hundreds of engineers with financial controls built in from day one.
Greater subscription value
Surface unused quotas, free-tier capacity, and
volume discount opportunities across existing provider contracts.
Secure and compliant by design
Zero credential exposure. Every agent request sandboxed. Full audit trail for SOC 2, ISO 27001, and enterprise procurement requirements.
Financial accountability
Every team, project, and workflow has clear AI productivity cost accountability — from the boardroom to the individual developer.
Competitive Position
Why Meridian is different
Most tools give you dashboards. Meridian gives you control — and the only peer-reviewed reasoning layer on the market.
Capability
Point Solutions
Meridian
Spend attribution coverage
Built for specific use cases
Enterprise-wide coverage, configurable out of the box
Finance & chargeback workflows
Usually needs export to BI tools
Native, finance-ready on day one
Agentic / LLM workload capture
Full spend attribution
A core focus and current strength
Optimization through caching
Typically exact-match only
Semantic caching for higher hit rates
Reasoning / GSR layer
Generally not offered
A differentiated, purpose-built layer
Deployment flexibility
Mostly SaaS-only
SaaS, air-gapped, or VPC
Benchmarks
Vendor-reported
Published and peer-reviewed
The only reasoning-layer optimization
Datacolor GSR is not a prompt wrapper. It is a neuro-symbolic decomposition layer that addresses both overthinking on simple tasks and underthinking on hard ones — producing auditable reasoning traces that are SOC 2 and EU AI Act ready.
Visibility first, then defensible optimization
Meridian establishes a measured baseline before activating any optimization lever. Every savings claim is backed by a before-and-after comparison on your real workloads — not vendor projections.
One thin layer. Zero re-architecture.
Agent architecture, prompts, tool definitions, and downstream consumers remain completely unchanged. The entire estate — direct APIs, cloud-hosted models, coding agents — captured through a single, provider-agnostic gateway hop.
Built for Finance, not just Engineering
The agent metadata model produces chargeback reports Finance can actually post. AI cost becomes a first-class financial metric — not a quarterly retrospective where the number is already locked.
The Business Case
Hard numbers, not projections
Meridian's GSR layer is grounded in peer-reviewed research.
The ROI is measured on your workloads, not industry averages.
30-50%
Token cost reduction
Versus direct LLM API calls, measured on production agentic and code generation workloads using the Datacolor GSR layer.
~10×
More compute-efficient
Than chain-of-thought frontier models on equivalent tasks. Structured decomposition replaces probabilistic token generation.
60-80%
Fewer reasoning errors
On multi-step agentic tasks. GSR adapts decomposition depth to task complexity — rigorous where it matters, lean where it doesn't.
1 week
To full spend visibility
From API call to live dashboard. The gateway captures every call in both directions — no agent code changes, no new infrastructure, no security review.
<4 hrs
Typical integration time
A REST endpoint change and a scoped API key. POC deploys on a hosted endpoint; production ships inside your VPC or
on-prem, air-gapped capable.
Peer-reviewed benchmark results — Datacolor GSR
(General Symbolic Reasoning)
SWE-Bench Lite
Agentic software-engineering tasks
62.3%
Livecodebench v6
Competitive code generation
66.66%
Instruction-following
Instruction adherence & output quality
89%
Advisory Board
AI industry leaders and academic experts
Meridian's product direction is shaped by practitioners who have built and operated AI infrastructure at scale — from enterprise software leaders to the researchers who published the benchmarks it runs on.
Priya Reddy
AI & Data Consultant · Former Chief Data Officer · AI100 Awardee
Priya Reddy Consulting · Carnegie Mellon University
"Turning startup chaos into enterprise credibility requires the kind of AI cost visibility that Meridian delivers — the boardroom finally has numbers it can trust."
Babar Bhatti
Chief AI Officer · Co-Founder, Dallas AI · Former Founder
(AI SaaS Exit)
Building AI-Augmented Organizations
"Building AI-augmented organizations means making every LLM investment accountable. Meridian is the control layer that makes that possible at scale."
Colin Hare, Ed.D.
EVP & Global Practice Lead: Analytics & Consulting · AI Leader · Board Member
Global Enterprise Analytics Practice
"Enterprise AI governance starts with knowing where every dollar goes. Meridian gives analytics and consulting leaders the spend attribution they've been missing."
Arjun Srinivasan
Data+AI Executive · Business Transformation · Forbes Technology Council Member
ShipStation Global · Cornell Johnson Graduate School of Management
"Technology strategy means nothing without financial discipline. Meridian brings FinOps rigor to the AI estate that every data and AI executive needs right now."
Dr. Ashim Bose
Professor, Naveen Jindal School of Management · AI-First Innovation · Launching Innovative Products at Scale
University of Minnesota, Minneapolis
"Becoming AI-first demands more than adopting models — it demands operational discipline over cost, quality, and governance. Meridian is the infrastructure that enables that discipline."
Customer Outcomes
What early adopters are seeing
47%
reduction in AI API spend in 30 days
We had fourteen agents running in production with no idea what they were costing us individually. Meridian gave us attribution within a week. The routing optimization alone paid for the engagement.
VP of Engineering
Global Insurance Platform
6 months → 2 weeks
Finance had been asking for AI cost chargeback for six months. Meridian's agent metadata model gave them a report they could actually post against budget codes. That conversation went from impossible to done in two weeks.
Chief Data Officer
Mid-Market Financial Services
$2.1M
annualized AI cost now under governance
The GSR layer was the surprise. We expected routing and caching savings. The accuracy improvement on multi-step document processing — without touching our agent code — was not something we anticipated.
Head of AI COE
PE-backed Healthcare Group
How to Engage
Prove it on your highest-spend workloads
Start with a 2-week POC. Measure twice — baseline, then with Meridian — for a defensible savings number on your real production workloads. Then scope the full FinOps program from what it surfaces.
Week 1
Instrument and baseline
The Meridian gateway is configured for your top model × cloud combinations. Baseline spend is captured within 24 hours of kickoff.
Full attribution dashboard is live by end of week one.
Full attribution live,
week one →
01
Week 2
Activate and measure
Routing, caching, and the GSR layer are activated on your highest-spend agentic workloads. Before-and-after comparison produces a defensible ROI number tied to your actual infrastructure — not industry benchmarks.
Before-and-after
savings, proven →
02
Beyond Week 2
Production and governance
Production deployment in your VPC or
on-prem, air-gapped capable. Full chargeback reporting to Finance. Always-on anomaly detection and budget governance across your entire AI estate.
Always-on budget
governance →
03
Start your 2-week POC
→ Baseline results within 24 hours of kickoff
No commitment. Baseline results within 24 hrs. Your data is never shared.
Prefer to write directly? partner@datacolor.ai
