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This Dropbox open model AI case study shows 45% lower judge error, 1-2 day adaptation and 10-100x more labels at the same cost.
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Small, instant, invisible.
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You don’t need a frontier model for every task
We build small, specialized AI models so that intelligence can be fast, affordable, and invisible — embedded in the products that already do the work.
Conscious Engines
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Engineering notes, field reports, and the thinking behind the systems we build. We publish what worked and what didn't.
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Replit intelligent model routing delivered the same tested output quality at 65% lower cost. See the enterprise architecture and caveats.
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Pinterest open-source AI delivers similar task quality at less than 10% of proprietary cost. See the build, adapt and buy model portfolio.
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Decagon voice AI cost fell nearly 6x per turn versus closed models such as GPT-5 mini, with reported p95 model latency below 400 ms.
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Boosted.ai Cut a Nearly $1 Million Model Cost by 90%
Conscious Engines
The Boosted.ai smaller model reduced a nearly $1M annual general LLM cost by a reported 90% while maintaining finance-task quality.
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Forethought Cut Model-Serving Cost Up to 80% by Matching Infrastructure to the Workload
Conscious Engines
Forethought task-specific models used shared and serverless inference to cut relevant serving costs up to 66% and small-classifier cloud costs about 80%.
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Why Government AI Needs Smaller, Controllable Models
Conscious Engines
Why small language models can give government AI stronger deployment control, lower cost, faster response and clearer evaluation.
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When Generic Speech Models Enter the Clinic
Conscious Engines
Learn how medical speech recognition handles clinical terminology, accents, numbers, workflow integration and safety evaluation.
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Building the Private Clinical Knowledge Layer
Conscious Engines
A technical guide to healthcare RAG with clinical source control, permissions, citations, evaluation and private deployment.
case study
How Aviva deployed more than 80 AI models across insurance claims and reported 23-day faster liability decisions, 65% fewer complaints, and higher NPS.