ENGAGE is purpose-built for B2B companies in the general laboratory equipment space. If your sales team sells equipment that supports sample preparation, processing, storage, or routine lab operations, this is built for you.
Laboratory centrifuge manufacturers (micro, benchtop, floor-standing, refrigerated, high-speed, ultracentrifuge)
Laboratory oven and furnace manufacturers (gravity convection, forced air, vacuum, muffle furnace, clean room rated, high-temperature)
Autoclave and sterilizer manufacturers (benchtop, vertical, floor-standing, gravity cycle, pre-vacuum, pass-through)
Analytical and precision balance manufacturers (micro, semi-micro, analytical, precision, industrial, moisture analyzers)
Shaker, rocker, and orbital platform manufacturers (incubating shakers, platform shakers, overhead stirrers, vortex mixers)
Water bath, heating circulator, and temperature control manufacturers (general purpose, shaking, refrigerated, recirculating)
Stirring hotplate and magnetic stirrer manufacturers (ceramic, aluminum, multi-position, overhead)
Rotary evaporator, vacuum pump, and solvent recovery equipment manufacturers
Homogenizer, sonicator, and sample disruption equipment manufacturers
Laboratory freezer, refrigerator, and cold storage manufacturers (undercounter, upright, ultra-low temperature, cryogenic)
Distributors, dealers, and resellers of general laboratory equipment across multiple brands
TRUSTED BY

Manufacturer of centrifuges, vortex mixers, hotplate stirrers, pipettes, shakers, water baths, and laboratory preparation equipment. ENGAGE handles product selection guidance, application matching, and dealer inquiries across their full catalog.

Manufacturer of laboratory ovens, spray dryers, rotary evaporators, autoclaves, and glassware washers. ENGAGE qualifies technical inquiries across their equipment lines and helps buyers navigate application-specific configurations.
THE PROBLEM
Your buyers think in terms of their application, not your product catalog. A researcher needs to "spin down blood samples at 3,000 RPM in 50mL tubes and it needs to fit on this bench." A QC technician needs to "dry samples at 105 degrees C with plus or minus 2 degrees uniformity across all shelf positions." A media prep technician needs to "sterilize 2 liters of LB broth in 30 minutes."
Translating these application descriptions into a specific model, rotor, temperature profile, or cycle type requires product expertise that most lab managers do not have for your specific brand. Your website shows product catalogs organized by your internal categories. Your buyer's mental model is organized by their workflow. The gap between these two languages is where deals stall. A contact form cannot bridge it. A PDF catalog cannot bridge it. But a trained AI chatbot that understands both your products and your buyer's applications can.
General lab equipment catalogs are broad. A centrifuge manufacturer might carry 15 models across micro, benchtop, floor-standing, refrigerated, and high-speed categories. An oven line might span gravity convection, forced air, vacuum, and clean room rated configurations in six chamber sizes each. A balance portfolio might include four readability classes across dozens of capacity ranges.
Your prospect lands on your centrifuge category page and sees 15 options. They do not know whether the difference between your Model A and Model B matters for their application. The spec sheets are in PDFs. The comparison requires downloading three documents and cross-referencing columns in a spreadsheet. Most prospects will not do it. They will either contact the manufacturer whose website guided them to the right model instantly, or they will buy from the distributor whose sales rep called back first.
Many general lab equipment manufacturers sell through distributor networks. Your website serves two audiences simultaneously: end-user lab managers evaluating products, and dealers checking specifications, pricing tiers, and availability for their own customers. A generic contact form treats both the same, routing a Fisher Scientific rep's inventory question to the same queue as a university lab manager's application question.
Without an intelligent front-end that recognizes who is visiting and what they need, you miss both opportunities. The dealer does not get the quick spec confirmation they need to close their deal. The end-user does not get the application guidance they need to choose your product over the competition. Both leave your site and find what they need elsewhere.
Lab managers and researchers frequently evaluate equipment purchases outside business hours. They research options between experiments, compare specifications during evening planning sessions, and shortlist vendors over the weekend when they finally have uninterrupted time to think. Your sales team is available Monday through Friday, 9 to 5. Your competitors' websites are available 24/7.
Every after-hours visitor who has a technical question your website cannot answer, whether it is about rotor compatibility, temperature range, chamber dimensions, or power requirements, is a prospect who leaves without engaging. A percentage of them never come back. Your contact form captures their email if they fill it out, but most will not fill out a form at 9pm on a Tuesday. They will bookmark your competitor's product page instead, the one where the chatbot answered their question and offered to send specs to their email.
THE SOLUTION

ENGAGE is not a generic chatbot. It is not a FAQ widget or a chat window with canned responses. It is an AI-powered sales assistant trained on your complete product catalog, your application notes, your specification data, your competitive positioning, and your sales process. It engages prospects in real conversations about their lab equipment needs and qualifies them for your sales team.
When a lab manager asks 'Which of your centrifuges can handle 50mL conical tubes at 4,000g?' the chatbot does not respond with 'Please contact our sales team.'
It identifies the compatible models, explains the relevant rotor options, asks about refrigeration needs and throughput, and captures the prospect's requirements as a qualified lead in your CRM.
When a distributor asks for the maximum temperature rating on your forced-air oven, the chatbot responds with the specification, explains the uniformity performance, and asks if they need a formal quote for their customer.
When a distributor asks for the maximum temperature rating on your forced-air oven, the chatbot responds with the specification, explains the uniformity performance, and asks if they need a formal quote for their customer.
When a researcher at 10pm asks whether your autoclave handles liquid cycles with slow exhaust, the chatbot answers the question, explains the cycle options, and captures their information so your rep can follow up in the morning with a configured recommendation.

That is what ENGAGE does. It turns your website into a 24/7 sales channel that qualifies prospects with the technical depth they expect from a product specialist, not the generic responses they get from every other website.
AGENTS
Beyond lead qualification and product guidance, ENGAGE includes optional AI agents that automate the most time-consuming steps in your lab equipment sales process.
ENGAGE Agent
When a lab manager needs a centrifuge configured for specific rotors, samples, and throughput, or an oven sized for their chamber requirements and temperature uniformity needs, the Needs Analysis agent collects every requirement through a guided, intelligent conversation. It replaces your specification questionnaire with an adaptive form that asks the right questions based on the equipment category and application, and delivers completed requirements directly to your CRM.
The lab manager who would have ghosted your emailed spec sheet completes their requirements in 10 minutes, right on your website.
ENGAGE Agent
For equipment with defined pricing, the Instant Quote agent generates a configured PDF quote with your branding, live shipping rates, and applicable terms, delivered to the prospect's inbox within seconds of completing their requirements. For distributors checking availability and pricing for their customers, this eliminates the 24-48 hour quote turnaround that costs you dealer loyalty.
Learn more about Instant Quote →Step 1
Our team ingests your complete product catalog, specification data, application notes, technical bulletins, competitive positioning documents, and sales playbooks. We learn your products at the same depth your best product specialist knows them. For general lab equipment companies, this typically means building knowledge across 50 to 500+ product pages covering multiple equipment categories.
Step 2
We structure your product knowledge into an AI-optimized knowledge base that maps buyer questions to accurate, helpful answers. This includes application-to-product matching ('I need a centrifuge for...' maps to the right models), specification cross-referencing (rotor compatibility, temperature ranges, chamber sizes), and competitive positioning (why your forced-air oven outperforms the competitor they are currently evaluating).
Step 3
Before your chatbot goes live, we run 1,000+ test conversations simulating real buyer scenarios. Lab managers asking about centrifuge specifications. Procurement officers requesting quotes for multiple items. Distributors checking availability and pricing. Researchers comparing your products against competitors. We test edge cases, unusual questions, and adversarial scenarios until the chatbot performs at the level of a knowledgeable product specialist.
Step 4
Your ENGAGE chatbot goes live on every page of your website. Our team reviews real conversations weekly, identifies questions the chatbot needs to answer better, and continuously improves the knowledge base. New products get added as you release them. New application notes get incorporated. Competitive positioning gets updated as the market moves. Your chatbot gets better every month, not just at launch.
OUTCOMES
Most chatbot platforms sell you software and wish you luck. You pay for the tool, then spend your team's time building, training, testing, and maintaining it. When it breaks or gives wrong answers about your centrifuge specifications, that is your problem.
ENGAGE is different. You are not buying chatbot software. You are buying qualified leads from your website, delivered to your CRM, with the technical depth and product knowledge your sales team expects.
We build it. We train it. We test it. We launch it. We monitor it. We optimize it. We update it when your product catalog changes. We fix it when it gets something wrong. You get the outcome (qualified leads) without owning the process (AI management).
When AI handles the repetitive product questions, specification lookups, and initial qualification conversations, your sales team finally gets to do the work they got into equipment sales to do: visit labs, understand workflows, design solutions, and close deals. AI does not replace your sales team. It gives them room to be great.
SECURITY

Your chatbot processes product inquiries, not patient data. ENGAGE does not handle protected health information, does not connect to laboratory information systems, and does not store personally identifiable information beyond the contact details prospects voluntarily provide. All data is encrypted in transit and at rest. Conversations are stored on SOC 2 compliant infrastructure.
For laboratory equipment companies whose enterprise customers require security documentation, we provide data processing agreements and security questionnaires upon request.
INTEGRATION
ENGAGE connects to the tools your sales team already uses.

Native integration with lead, contact, and opportunity objects

Full sync, including custom properties and workflow triggers

Enterprise-ready integration

Direct integration with lead scoring sync

Automatic deal and contact creation
Installs on any website platform (Webflow, WordPress, Shopify, custom) with a single script tag.

Works with all themes and page builders (Elementor, Divi, WPBakery, Beaver Builder)

Full support including custom domains

Works with code injection
Slack, Microsoft Teams, SMS for real-time lead alerts

Works with all themes and page builders (Elementor, Divi, WPBakery, Beaver Builder)

Full support including custom domains

Works with code injection
Office 365, Google Workspace, or any email platform for lead notifications

Works with all themes and page builders (Elementor, Divi, WPBakery, Beaver Builder)

Full support including custom domains
Calendly, HubSpot Meetings, Microsoft Bookings for demo and call scheduling

Works with all themes and page builders (Elementor, Divi, WPBakery, Beaver Builder)

Full support including custom domains

Works with code injection
No IT project required. No API development. No custom integration work on your end. We handle everything.
USE CASES
A lab manager describes their application (sample types, volumes, throughput, temperature requirements) and the chatbot recommends specific models from your catalog. This is the most common conversation type, and the one most likely to convert to a qualified lead, because the prospect receives immediate value from the interaction.
A buyer asks for specific technical parameters: maximum RCF for a centrifuge, temperature uniformity at a specific setpoint for an oven, sterilization cycle times for an autoclave, readability class for a balance. The chatbot provides accurate specifications from your product data without requiring the buyer to download a PDF or call your sales team.
A prospect evaluating your centrifuge against a competitor's model asks about differences in rotor capacity, noise level, footprint, or warranty. The chatbot presents your competitive advantages factually and positions your product's strengths in the context of the prospect's stated needs.
A dealer rep checking specifications, lead times, or pricing tiers for their customer gets immediate answers without waiting for your inside sales team to call back. Faster dealer support means faster deals and stronger channel loyalty.
A buyer purchasing a centrifuge needs to know which rotors, adapters, and tubes are compatible. A buyer purchasing an autoclave needs to know which racks, trays, and indicator strips work with their model. The chatbot navigates your accessory matrix and recommends the right accessories for the buyer's configuration.
A cell culture researcher needs a shaking incubator with specific speed range, orbital diameter, and temperature control for their flask format. A materials science lab needs an oven with specific ramp rate and atmosphere control. The chatbot collects application parameters and recommends configurations that match, turning a browsing visitor into a qualified sales opportunity.
ENGAGE: B2B Lead Generation Chatbot
Everything is included.
What is included:
Right now, a lab manager is on your website trying to figure out which centrifuge handles their sample tubes at the RCF they need. A procurement officer is comparing your oven's temperature uniformity against the spec they received from your competitor. A distributor rep is checking whether your autoclave model supports the liquid cycle their customer requires.
Your PDF spec sheets are not answering their questions. Your contact form is not providing value. Your sales team will not see their inquiry until tomorrow morning. And by then, the competitor who answered their question at 9pm last night is already in the conversation.
Every day without a trained AI chatbot for lab equipment is another day of missed after-hours leads, lost specification comparisons, and deals that went to the vendor who responded first.