
Tacit AI is a technology company specializing in AI-powered operational excellence for industrial manufacturing. Their flagship product, the Industrial Decision Engine, integrates with existing enterprise systems like SAP, Maximo, and IFS to enhance reliability and reduce downtime by extracting actionable insights from unstructured data such as work orders, logs, and manuals. The platform uses continuous learning and real-time user interaction to improve decision-making speed and accuracy, boosting engineering output and knowledge retention. Tacit AI targets industries including pharmaceuticals, chemicals, automotive, semiconductor, energy, food & drink, and defense. The company emphasizes retaining technical expertise amid workforce retirements and enabling autonomous manufacturing through contextual intelligence. Their business model includes enterprise SaaS with private cloud deployment, offering tailored AI companions and continuous AI model improvements. Tacit AI has offices in the United States and the United Kingdom and claims over $100 million in business impact from their founding team’s expertise.

Tacit AI is a technology company specializing in AI-powered operational excellence for industrial manufacturing. Their flagship product, the Industrial Decision Engine, integrates with existing enterprise systems like SAP, Maximo, and IFS to enhance reliability and reduce downtime by extracting actionable insights from unstructured data such as work orders, logs, and manuals. The platform uses continuous learning and real-time user interaction to improve decision-making speed and accuracy, boosting engineering output and knowledge retention. Tacit AI targets industries including pharmaceuticals, chemicals, automotive, semiconductor, energy, food & drink, and defense. The company emphasizes retaining technical expertise amid workforce retirements and enabling autonomous manufacturing through contextual intelligence. Their business model includes enterprise SaaS with private cloud deployment, offering tailored AI companions and continuous AI model improvements. Tacit AI has offices in the United States and the United Kingdom and claims over $100 million in business impact from their founding team’s expertise.
Company: Tacit AI
Product: Industrial Decision Engine — AI FMEA / reliability platform for unstructured operational data
Headquarters / Offices: United States; United Kingdom
Employee count (snapshot): 6
Funding (reported): No disclosed funding amount; Crunchbase lists a Pre-Seed entry
Industrial manufacturing reliability, maintenance, FMEA, RCA, and operational decision support using unstructured data.
2023
Industrial AI / Manufacturing software
Total Funding: 0.00 USD
We are looking for our first product‑minded software engineer to turn whiteboard ideas into magical, user‑facing products! About 80 % of your time is pure product: crafting the apps, interactions, and services that ship on our devices and companion clients . The remaining 20 % goes to in‑house dev‑tools that help our researchers see signals and iterate faster. We are an early-stage, stealth tech startup based in San Francisco, developing innovative hardware that rethinks human-computer interaction. While we can’t reveal too much just yet, our team is tackling cutting-edge engineering challenges to bring revolutionary products to life.
What You’ll Do:
• Own the product stack (Python, TypeScript + React, K8s/Self-hosted) that powers real‑time interactions on wearable hardware, web, and mobile.
• Prototype new interactions for novel HCI, iterate with in‑house test users, and polish until it feels like magic.
• Build apps that turn raw sensing into delightful user experiences.
• Create internal tools for data visualization, labeling, and monitoring.
• Collaborate daily with ML, hardware, and industrial design
• Own project requirements and deliver high-quality results.
• Address bugs, optimize for performance, and ensure system reliability.
Requirements:
• Proficiency in Python, Node.js, React, AWS, Linux.
• Have shipped multiple 0→1 products or ambitious side projects that real people use. Bonus points if involving real-time data.
• Independent work ethic, flexibility, and resourcefulness.
• Effective communication and collaboration skills.
• Comfortable in fast moving startup environment, excited to build independently
Additional Qualifications:
• A strong design mindset and user-centered thinking
• Experience with data visualization tools or libraries
• 2 years of experience in a Software Engineering role and a Bachelor’s degree or higher in a relevant field.
Details:
• This position is full time, on-site in San Francisco (SOMA)
• Company size: 20-30 people
• Base Salary: $140,000-$180,000 (with additional equity package)