Service area
Measure the context Silicon Valley engineers rebuild between tools — then give it to your agents.
Dataken works with organizations in San Jose, California that need to know how their people actually perform work before deciding what to automate. We do task mining at the desktop level — measuring applications, steps, handoffs, rework, and time — then quantify where AI and automation pay, implement it through OLi, and measure the result.
Silicon Valley's engineering organizations are the most tooled-up desktop populations in the world and still lose enormous time to context reconstruction across EDA tools, code, documentation, and review systems. The gap here is not tooling — it is that no layer sees across the tools.
How Dataken serves San Jose: Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas — our only office. OLi is desktop software deployed to your endpoints, so San Jose engagements are delivered remotely. On-site sessions can be arranged by agreement.
What Dataken does for San Jose organizations
Measure the work first. Automate second.
Most AI consulting starts with an interview: tell us your problems. Dataken starts with measurement — task mining and process intelligence built from a first-party activity graph in production since 2020, across more than 10 billion activity records. A San Jose engagement runs six steps.
- 01
Observe how work is actually performed
Task mining at the desktop level — applications used, steps taken, durations, and variation between people doing the same job. Measured, not interviewed.
- 02
Identify bottlenecks, rework, handoffs and friction
The activity graph surfaces duplicate work, decision delays, over-complicated steps, and the private workarounds that never appear in a process map.
- 03
Quantify the opportunity and the ROI
Every finding carries a measured frequency and duration across the population, so the business case is arithmetic rather than estimate.
- 04
Determine where AI, automation, or agents actually make sense
Prioritized by volume, repeatability, and measured cost — which also means saying plainly which processes should be eliminated rather than automated.
- 05
Implement it — not just deliver a strategy deck
OLi ships to the desktop and acts at the point of work, surfacing the right knowledge, content, or completed action in the moment.
- 06
Measure the result afterward
The same activity graph that produced the baseline measures the change. 10% more productive time in 30 days, or the engagement is not billed.
Where OLi fits in San Jose
The sectors that carry this metro’s desktop work.
- Semiconductor design
- Networking & infrastructure
- Enterprise & creative software
- Artificial intelligence hardware
- Electronic design automation
Questions from San Jose
Frequently asked
- Why would an engineering organization here need an external context layer?
- Because every tool in the stack sees its own slice. The activity graph is the only layer that sees the transitions between them — which is where engineering context is repeatedly rebuilt from scratch, and where an agent needs to read from in order to be useful without being asked.
- Does Dataken have an office in San Jose?
- No. Dataken, Inc. is headquartered in the Dallas–Fort Worth metroplex, Texas, and serves San Jose organizations remotely. OLi is desktop software deployed to your endpoints, so delivery, rollout, and support are performed remotely; on-site sessions can be arranged by agreement.
- How do San Jose teams start with OLi?
- Start with a 30-minute demo. Deployment scopes to a single operational function first, runs against a baseline agreed at kickoff, and carries the 10%-more-productive-time-in-30-days commitment.
See OLi against your own San Jose workflows.
10% more productive time in 30 days. Or you don’t pay.
Book a 30-minute demo