Uptake
Predictive maintenance software for truck and equipment fleets that flags problems before a breakdown, with Bosch now acquiring the company.
A camera-based analytics tool for tracking manual assembly line work, though its main website did not load during this research.
Drishti was a manufacturing analytics tool founded in 2017 that used cameras and computer vision to watch manual assembly line work, the kind other sensors cannot easily measure. The system timed each worker action and compared it to the standard process, helping engineers find bottlenecks and training gaps on lines still done by hand. Drishti had worked with major manufacturers, including DENSO and Flex, and said it worked with several of the largest global car makers. The World Economic Forum once named Drishti a Technology Pioneer. As of this research, the company's main website, drishti.com, did not load at all, which is a strong sign the product may no longer be actively offered. Confirm current status directly before including Drishti in any shortlist.
This originally fit a factory with a lot of manual assembly work that is hard to measure with normal sensors, like small parts assembly or electronics, with an industrial engineering or continuous improvement team as the natural owner of a pilot. This research found that the company's main website does not currently load, which raises real doubt about whether the product is still actively sold and supported, so treat this listing as unverified. Before spending real time on it, confirm the company still exists and ask for a live product demo and recent customer references. If Drishti is still operating under a different name or site, one thing stays the same: camera-based monitoring of workers needs clear, upfront communication with staff about what is tracked and why.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $103.3K | $161.7K | $258.8K |
| Three-year total | $226.3K | $339.9K | $522.5K |
| First-year cost per unit | $103.3K | $161.7K | $258.8K |
| Average annual cost per unit (over three years) | $75.5K | $113.3K | $174.2K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $37.5K | $50K | $67.5K |
| Implementation | $16.8K | $28K | $47.6K |
| Integration | $17.6K | $32K | $57.6K |
| Staff time and change management | $10.5K | $15K | $21K |
| Security | $7.7K | $11K | $16.5K |
| Administration | $5.6K | $7.5K | $10.1K |
| Support | $2.6K | $3.5K | $4.7K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Drishti and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Predictive maintenance software for truck and equipment fleets that flags problems before a breakdown, with Bosch now acquiring the company.
Why it’s an alternative—
Compare with UptakeA no-code computer vision tool that lets quality teams build models to spot visual defects without writing code or hiring data scientists.
Why it’s an alternative—
Compare with Landing AIA predictive maintenance tool that forecasts equipment failures from sensor and maintenance data and adds a chat assistant for engineers.
Why it’s an alternative—
Compare with C3 AI ReliabilityRoyal HaskoningDHV (Lanner)
Simulation software for modeling factories and supply chains before making real changes, now sold by Haskoning under its Twinn brand rather than by Lanner.
Why it’s an alternative—
Compare with Lanner WITNESSWhere to check the product, price, security, and support.
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