Our release cycle just dropped from 6 weeks to 12 days after rolling out the @calipersai MLOps stack. The eval gates and rollout flags alone paid for the engagement. Honestly unreasonable.
Director of Data, CloudPeak Analytics
We build GenAI, applied AI, and the software stacks that ship them — from prototypes to production.
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We design and ship intelligent software - GenAI, classical ML, and the applications that embed them - so teams move from idea to production without sacrificing quality.
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Shipping velocity
Releases, evaluations, and product metrics in one rhythm.
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Align on goals, constraints, and a high-level plan.

LLMs, agents, and retrieval stacks tuned to your domain and quality bar.
94% avg quality

Full-stack products, APIs, and data pipelines built for iteration.
2× faster releases

Agents orchestrate workflows across IT, HR, and revenue teams.
65% automation

Production-ready assistants, retrieval-augmented answers, and agent workflows grounded in …
0%
Avg Answer Quality Score
AI agents for workflows across HR, IT, and Sales ops with intelligent process automation. …
0%
Reduction in Manual Workflows
Real-time dashboards with AI insights. 50TB+ data processed monthly across 120+ enterprise…
0%
Forecasting Accuracy
Full-stack delivery for AI-powered products: APIs, web apps, data pipelines, and integrati…
0×
Faster Release Cadence
LLM-based enterprise assistants, domain-specific AI models, NLP and Computer Vision soluti…
0%
Avg Model Accuracy
Scalable AI pipelines on AWS, Azure, GCP with MLOps and model lifecycle management. We imp…
0%
Infrastructure Uptime
AI adoption strategy, digital transformation roadmap, enterprise AI maturity assessment. W…
0 days
Avg ROI Timeline
0x
FASTER IDEATION TO PROD
Enterprise average
0%
ENGINEERING TIME SAVED
Via automation & reuse
0%
AUTOMATION ACROSS OPS
Manual workflow reduction
0%+
PREDICTIVE ACCURACY
Avg model performance
5TB+
Monthly Data Processed

99.9%
SLA Guarantee

10K+
Automated Actions/Day


Assistants and copilots grounded on policy, plus real-time operational insight.
Flow
VOICES // 2026
What builders, operators, and engineering leaders say about working with Calipers — pulled from the timeline, lightly redacted.
Our release cycle just dropped from 6 weeks to 12 days after rolling out the @calipersai MLOps stack. The eval gates and rollout flags alone paid for the engagement. Honestly unreasonable.
Director of Data, CloudPeak Analytics
Took our HIPAA-compliant copilot from prototype to live in 7 weeks. Zero PHI leakage in red-team. The compliance layer @calipersai ships with is built right.
CTO, Helix Health
Cleared $4M in excess inventory after deploying their forecasting models. 2% error margin on Q3 demand. Our ops team thinks we cheated.
Supply Chain Director, Forsight
@calipersai shipped an LLM gateway, observability, and cost guardrails before our internal team finished kickoff. We just stopped fighting the platform and started building.
Head of AI, Vector Logistics
We replaced 3 vendors with Calipers One. Workflows + inference + analytics in one pane. CFO is happy. Engineers are happy. Rare combo.
VP Ops, Northwind Bank
Eight weeks. From zero to a production RAG assistant. The eval loop and release discipline @calipersai brought is the difference between a cool demo and something we can actually ship.
VP Engineering, Nexus Corp
If you're going from prototype → production and you hate yak-shaving infra, hire @calipersai. They obsess over the boring parts so we don't have to. 10/10 would deploy again.
Founder, Strata AI
From Day 1, you're not a client — you're a co-builder.
✓ No commitment • ✓ 48-hour response • ✓ Expert consultation