Mission Control vs DeepHow

TL;DR

DeepHow and Bob are closer than most pairs in this category: both capture experienced people on video while they work. DeepHow builds on that capture with AI-segmented, translated training videos, skills management, and Physical AI that checks work against the SOP through cameras. Bob, from Mission Control, is worn on the expert's chest through a real shift and records first-person video, narration, and spatial data into your own cloud tenancy, with no review or authoring step. DeepHow answers: how do we train everyone on the best method and confirm they follow it? Bob answers: what exactly does our most experienced person do across a shift, and where? Choose DeepHow for training and verification at scale. Choose Bob to keep an expert's whole working record before they move on. The two can run side by side. Beyond capture, Bob's recordings feed Swarm, Mission Control's AI platform, where synthetic workers can search and act on that knowledge inside your own infrastructure.

At a glance

DeepHow vs Mission Control: where the video goes

Both products point a camera at real work. The useful question is what each one does with the footage.

DeepHow turns it into content. An expert records a process in the mobile app. AI splits the recording into steps, adds captions and translation, and files it by task, skill, and site. A person validates it, and version control keeps the latest copy in front of workers. From there the same material feeds quizzes, skills records, Smart Instructions, and Smart Assist, an AI companion that answers questions from expert-curated content with video. DeepHow's homepage describes the result as a loop in which the same captured expertise that trains operators also trains AI.

Bob keeps it as a record. The worker wears the unit through the shift, and the video, narration, and spatial data go to your tenancy as captured. Nobody segments, edits, or approves it first. The spatial data places each moment at a workstation or area of your facility, so the record answers where as well as what.

These are different bets about what is scarce. DeepHow bets on consistent training and proof of execution across many operators. Bob bets on the unrecorded judgement of a few people who will not be on the floor forever. Both bets are reasonable, and many plants face both problems at once.

Dimension 1: How the expert is captured

DeepHow's capture is built for ease. Its knowledge capture page promises no fancy equipment or production setup, says the app is for everyday people, and says experts record processes as they perform them, so the content stays rooted in real operations rather than staged training material. The DeepHow Capture app runs on iPhone and iPad. For a subject matter expert with a process worth sharing, that is about as low-friction as recording gets.

Bob's capture is organized around the shift rather than the process. The expert puts the unit on at the start of the job, and it records from their point of view while their hands stay on the work. The capture takes in more than the steps of one task: the walk to the other end of the line, the check they make out of habit, the explanation they give a colleague halfway through.

Bottom line: DeepHow makes recording a known process quick on a phone or tablet; Bob records the expert's working day from the expert's own vantage point, with no one choosing what to film.

Dimension 2: What happens after capture

In DeepHow, capture is the first stage of production. The Smart Videos page describes AI doing the work while a person reviews, video trimming that works like editing text, one-click dubbing with AI voices or your own, AI quizzes, Q&A against the content, and a comparison tool that shows where two similar videos diverge. Smart Instructions converts videos and static PDFs into structured, interactive instructions through an AI chat interface. DeepHow says updates can go live in as little as 30 minutes from shoot to share.

With Bob there is no second stage to staff. The capture lands in your tenancy and is the record. That removes the review queue, and it also means Bob does not hand you a finished, translated training module. What you get is first-hand evidence of how the job was done, which can be run and governed by synthetic workers on Swarm, Mission Control's platform.

Bottom line: pick DeepHow to turn captured knowledge into polished, multilingual training content fast; pick Bob when the priority is a complete, unedited record that nobody has to produce.

Dimension 3: Training, skills, and verification

This is DeepHow's widest ground. Smart Skills Management shows who is trained, who is overdue, and where the gaps are, targets training by role, shift, or site, and keeps trackable, dated records for audits. Past training, Live SOP Verification uses cameras on supported industrial devices and vision language models, with GPUs and AI from NVIDIA, to compare work against the approved SOP and alert the operator in real time. The Foxconn case study reports 99% task-level accuracy and a 3% gain in first pass yield. On-demand Visual Inspection checks a photo or video of finished work against the standard, and Time and Motion AI classifies tasks, motion, and timing into Yamazumi-style views.

Bob does none of this. It does not track qualifications, test operators, or watch a line. Its contribution comes earlier: a first-hand record of how an expert does the job, which a team can draw on when it writes or revises the standard in the first place.

Bottom line: for training, qualification, and checking execution against a standard, DeepHow is the stronger tool. Bob is a capture method and stops there.

Dimension 4: Deployment, data, and the person wearing it

DeepHow runs as a cloud-native SaaS platform. Its security policy cites SOC 2 Type II certification, TLS 1.2 or higher in transit, AES-256 encryption at rest, and single sign-on over SAML 2.0 and OAuth 2.0. Pharmaceutical customers can use PharmaCloud, a dedicated GMP-compliant SaaS cloud. DeepHow lists integrations across LMS, HCM, SSO, MES, and compliance systems, including Docebo, Workday, Okta, Plex, Rockwell Automation, and Veeva Vault.

Bob's data goes to your own cloud tenancy. During the pilot, your IT team installs the data platform there with Mission Control's support, so every capture sits under your controls from the first shift.

Putting a camera on a person deserves a direct answer about consent. Bob is worn only by experienced workers who opt in. It is their tool, used to keep what they know. In areas where video is not acceptable, the no-camera version records with a volumetric spatial sensor instead.

Bottom line: DeepHow is a certified SaaS platform with broad system integrations; Bob keeps captured data in a tenancy you own, with opt-in wearers and a no-camera option.

Beyond capture: synthetic workers on Swarm

Bob captures the knowledge. Swarm, Mission Control's AI platform, is where that knowledge is stored, searched, and put to work. Mission Control builds the integrated hardware and software stack for capturing and reanimating expert knowledge, so the capture and the synthetic workers that use it sit on the same platform. Bob's recordings become searchable, usable by Swarm's synthetic workers, and ready to connect to your own AI, robotics, or manufacturing systems, and you can connect Claude or ChatGPT to Bob's data on Swarm.

• Physical ground truth for synthetic workers: A synthetic worker learns desk and system work from a screen-share. Bob gives it the physical ground truth a screen-share cannot provide: how the job is done on the floor, in the expert's own words, tied to where it happened.
• Inside your infrastructure: Swarm is deployed on-premises or in your own cloud, behind your firewall, on the inference provider you choose: Anthropic, OpenAI, or self-hosted models.
• Governed at runtime: Nine real-time governance firewalls sit between the model and your production systems. Every LLM call, action, and file access is logged with full provenance, and a capability that is not on a worker's whitelist does not exist for that worker.

DeepHow says the same captured expertise that trains operators also trains AI. Smart Assist answers questions from expert-curated knowledge with video responses, and Live SOP Verification checks work against the approved SOP through cameras. Its AI is aimed at helping people learn the method and follow it.

Bottom line: DeepHow's AI helps people learn and follow the best method; Swarm's synthetic workers put the knowledge Bob captures to work in your own infrastructure.

Using DeepHow and Bob together

The products meet where expert knowledge turns into training. Running them side by side is a working practice, not a product integration:

1. Capture the shift: An experienced worker wears Bob through the startup, changeover, or fault-finding job they do best.
2. Find the gaps: The engineer or trainer who owns the DeepHow content works through the capture and notes what the current videos and instructions leave out.
3. Record and publish: The parts that make good training are recorded as DeepHow videos or instructions, reviewed, translated, and assigned through DeepHow's skills management.
4. Keep the full record: Everything else stays in the Bob capture in your tenancy, where it can be run and governed by synthetic workers on Swarm.

For the document distinction behind step 3, read work instructions vs SOPs.

Pricing and engagement

DeepHow does not publish pricing. As of September 2026 we found no pricing page or published plan on deephow.com, and the homepage describes an enterprise rollout in three months, so budget from a quote.

Bob is scoped per pilot; contact sales. The pilot is a 90-day fixed-length trial: Mission Control ships a case of 2 Bob units, and your IT team installs the data platform in your own tenancy. You can request a pilot directly.

Bottom line: neither vendor lists a price. DeepHow starts with a sales conversation about an enterprise rollout; Bob starts with a fixed-length pilot on your own floor.

Who should choose DeepHow

• You train large, multilingual frontline teams and want expert video turned into step-by-step content with AI dubbing.
• You need a skills matrix, targeted assignments, quizzes, and certifications tied to that content.
• You want vision AI checking execution against the approved SOP, on the line or from photos of finished work.
• You operate in pharma or medical devices and want a dedicated GMP-compliant SaaS environment.
• You want the platform connected to your LMS, HCM, or MES from the start.

Who should choose Bob

• A few experienced people hold judgement that no video library or SOP contains, and you cannot count on them being there next year.
• The work is physical and spread across a shift and a site: where they go, what they check, in what order, and why.
• You do not have trainers or engineers free to review and publish content from every capture.
• Captures must stay in your own cloud tenancy, and some areas need a version without a camera.
• You already run DeepHow or another training platform and want the raw material your standards are missing.
• You want proof on your own floor first, with a 90-day fixed-length pilot and a case of 2 units.

See how this works in Bob for Manufacturing and Bob for Energy, or for an instrumentation technician, and read the digital work instructions overview. If you are weighing a full switch away from DeepHow, see the DeepHow alternative; for the wider field, see the best digital work instructions software.

References

DeepHow claims on this page come from DeepHow's own site and its App Store listing, accessed 14 September 2026. Bob details come from the Meet Bob and Pilot Bob pages.

• DeepHow homepage
• Knowledge Capture and Transfer
• Smart Videos
• Smart Instructions
• Smart Skills Management
• Smart Assist
• Live SOP Verification
• On-demand Visual Inspection
• Time and Motion AI
• Integrations
• Security policy
• PharmaCloud
• Case study: Foxconn
• Apple App Store: DeepHow Capture