Prismatic Labs
The sensing layer for planet-aware AI
You can see your API bill. You can’t see which call, which team, or which feature is driving it – and you have no data on the energy, carbon, or water behind it. Vetch gives you all four, per call – two lines of code, never reads your prompts.
pip install vetch
Works with
The problem
AI consumes planetary resources at scale – and we have zero granular visibility into its impact.
Energy
A single GPT-4 query uses ~10x the energy of a Google search. Extended thinking modes multiply this 2-4x.
Shaolei Ren et al., 2024
Water
US datacenter water use is projected to reach 660 billion litres by 2026. Regional stress varies up to 3x.
IEA, 2025
Hardware
GPU manufacturing adds 5-15% to AI’s real carbon footprint – embodied emissions invisible to most tools.
Gupta et al., 2022
Why now
AI environmental accountability is becoming mandatory – but the tooling isn’t ready
Six of nine planetary boundaries crossed. Stockholm Resilience Centre confirms we’ve exceeded safe limits on climate, freshwater, and biodiversity. The physical constraints are real and tightening.
Regulation is landing – with teeth. EU AI Act (2025-2027) and CSRD require AI environmental reporting. Penalties up to €35M or 7% of global revenue. No standard tooling exists to comply.
Energy costs are structurally volatile. AI energy decisions are now financial and geopolitical decisions.
Cost of non-compliance: up to €35M. Cost of Vetch: two lines of code.
See Vetch in action
Two lines of code. Four dimensions of AI impact.
Wrap your existing LLM calls with Vetch. Your code doesn’t change – you get energy, carbon, water, and cost tracking on every inference.
from vetch import wrap
with wrap(region="eu-west-1") as ctx:
# your existing code, unchanged
response = client.chat.completions.create(
model="gpt-4o", messages=[...]
)
ctx.event["estimated_energy_wh"] # 0.509 Wh
ctx.event["estimated_carbon_g"] # 0.178 gCO2e
ctx.event["estimated_water_l"] # 0.0009 litres
ctx.event["estimated_cost_usd"] # $0.0055
ctx.event["signal_quality"] # "live" | "stale" | "estimated"
Open-source AI monitoring
Measure AI energy, carbon, water and cost – per call
Energy
Know the true electricity cost of every inference, not just the API bill. Model-specific Wh estimates from token counts and provider power profiles.
Carbon
Live gCO2e per call, using real-time grid carbon intensity from Electricity Maps. The number you need for CSRD and EU AI Act reporting.
Water
Datacenter cooling consumes water. Vetch estimates litres per inference using regional water efficiency data. Stress levels vary up to 3x by region.
Cost
Tag every call by team, feature, or customer. Stop guessing which product lines are burning your LLM budget.
Exports to
Trust by design
Privacy-first: Zero access to prompts or completions. Only model, tokens, region, latency.
Fail-open: If Vetch fails, your LLM call still works.
Fail-loud: Every log includes signal quality. Stale data? We say so.
Vetch roadmap
Start measuring today. Automate compliance next.
NOW
Visibility
Energy, carbon, water, and cost per LLM call. Four providers, LangChain and LlamaIndex support, OTLP export. Available now.
NEXT
Orchestration
Route to cheaper, greener regions – saving 15-30% on compute while cutting carbon. Defer workloads when planetary thresholds breach.
THEN
Accountability
Per-call emissions attribution, carbon budgets, regulatory dashboards. Pre-formatted for EU AI Act and CSRD compliance reporting.
Beyond AI
Making the invisible measurable
AI is reshaping energy grids. Supply chains are rewriting grocery bills.
Both are happening inside systems most people never see – until they get the bill.
We build the meters.
by Prismatic Labs
Tare
The Strait of Hormuz crisis in your grocery bill
Since February 2026, the Strait of Hormuz crisis has driven up costs for energy, fertilizer, and logistics. Tare maps exactly how that flows into the retail price of 59 everyday foods across 10 countries. Updated daily.
Interactive data tool
59 foods · 10 countries · updated daily
In botany, tare and vetch are in the same plant family. Vetch fixes nitrogen in the soil. Tare grows among the wheat, revealing what’s hidden. Same family, different job.
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