Research
Original benchmarks and analysis from production AI deployments. No vendor sponsorship. No marketing fluff.
We tested 11 voice AI platforms in production: latency, cost, accuracy
Over Q1 2026 we deployed 11 different voice AI platforms across live production phone numbers and measured latency, cost per minute, transcription accuracy, interruption handling, and call-completion rate. Here's what we found.
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AI Agent Pricing Index 2026: what AI actually costs to run in production
Most 'AI cost' articles quote LLM token prices and stop. We pulled real production bills from 38 client deployments and built the only AI agent pricing index that includes infrastructure, observability, evals, and ongoing maintenance.
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ChatGPT vs Claude vs Gemini for business: full 2026 comparison
Every business decision-maker is asking the same question: which LLM should we standardize on? We ran the same 14 tasks across GPT-4o, Claude 3.5 Sonnet, Claude 4 Opus, and Gemini 2.0 Pro on real client data over 90 days. Here's the actual answer, including the cases where the 'best' model is the wrong choice.
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AI ROI by industry 2026: payback periods from 86 production deployments
We pulled implementation cost, run-rate cost, and measured business impact from 86 production AI deployments over the past 18 months. This is the ROI data the vendor case studies never include — including the ones that didn't pay back.
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State of SMB AI Automation 2026
We surveyed 312 SMBs ($1M–$200M revenue) on actual AI adoption — what they bought, what they spent, what worked, what didn't. Real numbers from real businesses, not press releases.
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Voice AI vs human agents: 2026 cost & performance analysis
Voice AI passed the 'good enough for most calls' threshold in early 2025. We've now run 14 production deployments alongside human agent baselines and have the side-by-side data on cost, CSAT, conversion rate, and the call types where humans still outperform.
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State of AI Agents 2026: production deployment data from 400+ companies
We surveyed 400+ companies running AI agents in production in Q1 2026 — across customer service, sales, ops, and engineering. The data reveals where agents actually succeed, where they quietly fail, and what separates production-grade deployments from prototypes that never ship.
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LLM cost benchmarks 2026: real production economics across 14 models
Per-token pricing is one number. Real cost at production scale — accounting for input/output ratios, caching, tool-use overhead, and retry rates — is a completely different number. Here's the per-task cost data across 14 frontier models.
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AI customer service deflection benchmarks 2026: what good actually looks like
Vendors promise 80% deflection rates. Reality varies wildly — from 19% to 73% — based on knowledge base quality, conversation design, and escalation logic. Here's the production data.
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AI sales pipeline conversion benchmarks 2026: SDR replacement data from 90 GTM teams
AI SDRs are the hottest GTM trend of 2026. They also drive wildly variable results. We measured open, reply, and meeting-set rates across 90 production deployments.
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Manufacturing AI ROI study 2026: production data from 60 plants
Manufacturers are quietly running the highest-ROI AI deployments in any vertical. We measured quality, throughput, and downtime improvements across 60 plants.
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Healthcare AI adoption study 2026: what's deployed, what's blocked, what's working
Healthcare AI moved from pilot to production in 2025. We surveyed 220 providers on what's deployed, what's blocked at security review, and what's actually moving outcomes.
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AI security incident report 2026: 47 production incidents analyzed
AI deployments are creating a new category of security incidents. We analyzed 47 real production incidents — what happened, what data leaked, and what controls would have prevented each one.
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RAG vs fine-tuning cost comparison 2026: real numbers from 35 production builds
RAG vs fine-tuning is the most-debated AI architecture question of 2026. We measured TCO across 35 production deployments. The answer is more nuanced than either camp claims.
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Prompt token economics 2026: how prompt structure drives 60% of LLM cost
Most teams don't know what their prompts actually cost — much less how to cut that cost in half. We analyzed 12,000 production prompts to surface the patterns that work.
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AI implementation failure rate study 2026: why 67% of AI projects never reach production
67% of AI projects started in 2025 never reached production. We analyzed 280 projects (130 wins, 150 failures) to surface what actually predicts success.
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