Business Intelligence Companies & Consultants in Boise, ID

GetWhys, legally incorporated as Get Whys, Inc., is a software company that has built an AI-driven buyer insight platform for business-to-business go-to-market organizations. Its customers are mainly product marketing, growth and research teams that want messaging, campaigns and sales material based on evidence from actual purchasers rather than assumptions. Published customer stories feature marketing leaders at CSG, Navattic, Commvault and Loopio, and the company names Docusign, Intel and Verizon among the enterprises that rely on it.

What the platform does

The central idea behind GetWhys is that generative AI lets teams produce content quickly but offers no signal about whether buyers will respond to it. To close that gap, the company maintains a proprietary dataset built from interviews conducted with actual purchasers and feeds those findings into the AI assistants and applications a team already works in.

Drafts can then be checked against buyer viewpoints before launch, with explanations of which points are likely to resonate and the interview evidence behind each judgment. Customers can also track how much their content improves, giving product marketing and research leaders a way to demonstrate the value of their work.

Key use cases described by the company include:

• Creating sales and marketing assets informed by buyer research
• Competitive intelligence and ongoing competitor updates
• Validating messaging and content prior to launch
• Building buyer personas
• Unlimited buyer research without project caps or per-study fees

How clients work with GetWhys

Rather than asking staff to adopt yet another dashboard, GetWhys plugs into the existing tool stack, so employees keep their current workflows while the output is enriched with buyer intelligence. Clients do not have to design or field surveys themselves. Because research is offered without rationing, teams can bring current buyer perspectives into each product launch, campaign or competitive refresh.

Prospective customers typically begin with a demo, and the company publishes a blog, a changelog, case studies, a status page and a trust center for buyers evaluating the service.

Background and team

The firm was started by three cofounders who met in college in 2011 and have collaborated for more than ten years. Two of them spent over a decade as B2B market research consultants serving both hyperscale technology companies and early-stage startups, while the third developed enterprise software at Level, AppNexus and Microsoft, first as an individual contributor and later in engineering leadership. That pairing of research methodology and software engineering underpins the product.

Although GetWhys has historically operated as a remote company, it is establishing hybrid hubs in four cities. Most of its go-to-market staff are based in Boise, Idaho, the product organization is concentrated in Bozeman, Montana, and engineers work largely out of Portland, Oregon and New York City. For buyers comparing business intelligence vendors, GetWhys stands apart from conventional analytics and reporting providers by concentrating on qualitative buyer research for marketing and sales, applied within AI tools and measured against outcomes.

Toumetis is a data science and software company that builds analytics for electric utilities. Its focus is on helping transmission and distribution operators spot failing equipment early so they can act before it causes customer outages. The US arm, Toumetis, Inc., is based in downtown Boise, Idaho. A sister entity, Toumetis Ltd., works from an office beside the River Avon in Bristol, England.

The Cascadence Platform

The company's core product is Cascadence, a system that combines grid sensors with analytical and machine learning models. Toumetis describes it as a field-proven way to anticipate equipment breakdowns on distribution networks. Utilities face aging hardware, growing asset counts and ever richer monitoring data. Cascadence is designed to turn that data into findings that operators can use. Its analytics work in three stages:

• Event detection flags unusual power quality disturbances as they happen.
• Event classification links each disturbance to a likely device type and underlying cause.
• Incipient fault location pinpoints where the deteriorating component sits on the network.

With these insights, a utility can schedule short planned interruptions instead of suffering long, expensive unplanned ones. It can also aim vegetation work at specific trouble spots rather than following fixed cycles. Maintenance and replacement budgets can then be based on evidence rather than on rotation schedules. Toumetis positions these outcomes as levers for improving standard reliability measures such as SAIDI, SAIFI and total customer outage minutes.

Wildfire and Safety Applications

For utilities in fire-prone territory, the company highlights a safety use case. Cascadence can help detect conditions such as trees or brush touching overhead lines, so crews can address hazards before they escalate. San Diego Gas & Electric is cited on the Toumetis site as a customer. The SDG&E testimonial describes the platform as a step toward replacing assets just before they fail rather than waiting for them to break.

How Toumetis Works With Utilities

Toumetis does not treat every utility the same. It recognizes that each operator has its own pain points. These might include severe weather exposure, fire danger, a particular balance of overhead and buried equipment, or a mix of industrial and residential demand. Cascadence is built as an adaptable platform that can be refined over time.

This lets the team tackle a client's most costly problems first and widen the scope later. Prospective clients can request a pilot deployment, and the company publishes case studies.

Team and Background

The firm has a long track record in applied data science and application development for Industrial Internet of Things projects, and it now applies that experience to power delivery. Its staff includes:

• Data scientists
• Data analysts
• Electrical engineers
• Software developers

All of them bring domain knowledge of utility distribution networks. Development follows agile practices with daily stand-up meetings, and every team works toward a single shared product. The data science work blends current research with fast rollout of models that deliver practical results. Staff follow a hybrid arrangement and come into the office at least weekly. For buyers comparing analytics vendors, Toumetis stands out as a specialist that focuses specifically on reliability and outage prevention for the power sector.