Time Machine is software + services. We combine proven adaptive learning methodology (DARPA + Bloom + modern AI) with hands-on operators who've spent decades building and scaling revenue and learning systems at A16Z portfolio companies, AWS, federal government, and Fortune 500. Both halves matter. Both halves are why this works.
What you hand over. What we build and operate. What your team gets. Days from start to first learner.
Sales calls. Zoom recordings. Call transcripts. Demos. Corp decks. Release notes. Playbooks. Coaching notes. Customer success workflows. Slack threads. No polished training content required, ever.
We ingest anything you have — messy, raw, half-finished — and normalize it automatically. Your team spends zero time creating new training content.
Our enablement experts extract knowledge, structure expertise, and design adaptive learning sequences. Our AI tutor delivers them — multi-modal, mastery-based, personalized per learner.
Software + services, combined. You don't operate a platform. We do the work.
Learners certify on real outcomes. Senior team stops onboarding and goes back to selling. The AI tutor learns from every interaction — what works for each individual, what works across the team. Compound learning. Year three is materially better than year one.
Time Machine's learning methodology isn't AI hype. It's settled science — validated forty years ago and operationalized by the U.S. Department of Defense — that we made economically deployable with modern AI.
In 1984, educational psychologist Benjamin Bloom at the University of Chicago published one of the most-cited findings in education research. He compared three teaching methods across thousands of students:
Conventional classroom students performed at the 50th percentile. Students taught with mastery learning moved to the 84th percentile. Students who received one-on-one adaptive tutoring performed at the 98th percentile. Two full standard deviations higher than the classroom average.
Student performance by teaching method (Bloom, 1984)
Bloom, B. S. (1984). The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring. Educational Researcher, 13(6), 4–16. One of the most influential findings in modern education research.
The "Problem" in Bloom's title: one-on-one tutoring is too expensive to give every learner. For 40 years the challenge has been delivering tutoring-level results at classroom-level economics. Time Machine is one answer.
In 2009, DARPA funded an audacious project: could a digital tutoring system deliver the 98th-percentile performance Bloom described — at scale, without expensive human tutors? They tested it on Navy IT training. Take raw recruits, give them a Digital Tutor, see how they perform against the 35-week classroom program and against active-duty Fleet technicians with years of on-the-job experience.
Digital Tutor graduates solved 74% of real Navy troubleshooting problems. Field veterans with years on the job solved 52%. Classroom-trained recruits solved 38%.
Recruits with Digital Tutor training outperformed people with years of actual experience. The methodology Bloom described in 1984 was, finally, operationally proven.
Why hasn't every company adopted this? Because building each DARPA Digital Tutor required 24 expert tutors and 6 content authors. The methodology was proven. The economics were impossible — until modern AI removed the content-engineering bottleneck.
Most AI training tools are built by engineers who haven't operationalized learning at scale. We have. Our co-founders and investors have spent decades doing exactly what we now help our customers do — building, scaling, and operationalizing GTM, training, and enablement systems at companies that defined their categories.
AI Patent Holder and organizational innovation expert. Built and shipped AI software used by the Federal Government and Fortune 500. Learning & Change Management Expert across departments. Business and Tech Advisor.
24-year CRO building high-performing revenue teams. Personally onboarded and trained over 1,000 employees and 5,000 channel partner reps. GTM expert in building and scaling learning infrastructure. Breakthrough Go-To-Market execution.
Long-time Head of Go-To-Market at Andreessen Horowitz (a16z), with deep expertise scaling GTM organizations across the a16z portfolio. Former Head of Global Field Effectiveness at Amazon Web Services (AWS), who operationalized field enablement at one of the world's largest tech companies.
When you hire Time Machine, you don't just get our AI — you get the GTM and learning-systems playbook that these operators have spent decades refining, applied to your specific organization.
Every interaction makes the system smarter — for each learner and for the organization as a whole. Year three is materially better than year one.
Learning style. Pacing. Weak spots. Strengths. The AI tutor adapts in real time and remembers across sessions, so coaching gets sharper with every interaction.
What works for your top performers. What trips up new hires. Where your messaging breaks down. The system surfaces this back to management — turning individual learning into organizational intelligence.
Switching providers gets harder every quarter — not because we lock you in, but because the cumulative knowledge of how your team learns and what works for your business is a real asset. Compound interest, applied to skill development.
The reason most growing companies' senior people are exhausted is that training depends on them. Time Machine breaks that dependency. Your top performers' expertise becomes the training, but they don't have to be in the room.
No more weekly shadowing. No more repeating the same demo twelve times. No more pulling senior reps off quota to onboard. No more hiring enablement headcount just to keep training going.
Two foundational research findings. First, Benjamin Bloom's 1984 "2 Sigma Problem" study showed individual adaptive tutoring lifts learners to the 98th percentile compared to traditional classroom instruction. Second, DARPA's Digital Tutor project (2009) operationalized that finding for the U.S. Navy. Digital Tutor graduates outperformed both 35-week classroom-trained students and experienced field technicians on real Navy troubleshooting — solving 74% of assessments versus 52% for veterans and 38% for classroom-trained recruits.
Time Machine applies the same proven methodology with modern AI, removing the expensive content-engineering bottleneck that kept DARPA's system in the lab.
Most AI training tools are built by engineers who haven't operationalized learning at scale. Time Machine's founders and investors have. Ike Kavas is an AI patent holder who built software for Federal Government and Fortune 500. Cameron Orr is a 24-year CRO who has personally onboarded and trained 1,000+ employees and 5,000+ channel partner reps. Investors include the long-time Head of Go-To-Market at Andreessen Horowitz (a16z) and a former Head of Global Field Effectiveness at AWS.
The combination is rare: the technology team understands learning science deeply, and the operator team has scaled the systems we now build for our customers.
No. Most companies feel they need months of content prep before they can adopt a system like this. They don't. Time Machine works from your existing material — recorded sales calls, demos, decks, playbooks, internal Slack threads, product workflows. The expertise is already in your company. We operationalize it.
An LMS is a content library — you build or buy content, the LMS stores and delivers it. Most LMS courses don't change a learner's behavior; they create completion certificates.
DIY AI training tools are platforms you have to operate yourself. Most companies don't have the time, expertise, or resources to do that well.
Time Machine combines software with services: we build the training from your existing material, our AI tutor delivers it, our team optimizes it continuously. An LMS solves content distribution. DIY AI tools solve content generation. Time Machine solves the whole performance-replication problem — end-to-end, for you.
24–48 hours from material upload to first learners actively training. Most customers launch meaningful training programs within the first week. No instructional designer, no consultant engagement, no 6-month rollout.
That's typically where the best expertise actually lives. Time Machine ingests recorded sales calls (Gong, Chorus, Zoom recordings), Slack exports, CRM notes, demo recordings, internal coaching sessions. The unstructured way your top performers actually work is the input we're best at turning into structured training.
Not the senior end. Your best coaches still own late-stage deal coaching, exec relationships, and strategic work that only humans can do. What Time Machine replaces is the foundational ramp work that consumes 80% of their time and doesn't need a human. End result: your senior coaches do higher-leverage work, and you typically don't need to hire the next enablement person you were planning to.
Software + services. Tell us about your team and what you're trying to scale. We'll come back within one business day.