Knowing that a prospect is "in-market" is valuable. Arriving with an architecture concept they didn't know they needed is transformative.
Demand generation platforms — the category that includes intent data providers, account-based marketing platforms, and component search analytics tools — have become standard infrastructure in B2B sales. Annual contracts typically run $250K or more for enterprise-tier access, plus implementation, integration, and the headcount required to act on the signals.
These platforms excel at one thing: identifying which accounts are showing buying signals. They track web behavior, content consumption, search patterns, and third-party intent data to surface accounts that are likely in an active buying cycle. For SaaS companies with large addressable markets and short sales cycles, this intelligence is genuinely valuable.
In hardware B2B, the gap between "intent signal" and "engineering engagement" is vast. Knowing that a manufacturer is researching FPGA-based video processing solutions tells you nothing about their specific architecture requirements, power constraints, certification needs, or integration timeline. The platform identifies the WHO but not the WHAT — and in complex engineering sales, the WHAT is everything. Without a tailored concept to present, the sales team falls back to generic outreach: "We noticed you're interested in FPGAs. Can we schedule a call?" This is marginally better than cold outreach — but only marginally.
Model T addresses the gap that demand-gen platforms leave open. Where intent platforms answer "who is in-market?", Model T answers "what should we propose — and here it is." Each pursuit produces 2–3 architecture-level product concepts tailored to the prospect's engineering roadmap, complete with system design, preliminary BOM, competitive analysis, and business case.
The 18-step pipeline across 6 stages includes the research and analysis that intent platforms automate — company profiling, market positioning, competitive landscape — but goes further: a cross-functional team of business analysts, product managers, and senior engineers synthesizes this intelligence into actionable engineering concepts. The team draws on Promwad's 100+ engineers, 500+ completed projects, and ISO 9001-certified development processes.
At from €15K per pursuit, Model T converts signals into substance. Rather than handing the sales team an intent score and wishing them luck, Model T hands them architecture concepts that demonstrate engineering understanding. The 75% positive-response rate in field deployment reflects the difference between "we know you're interested" and "we've already started solving your problem."
Demand-gen platforms and Model T solve different halves of the same problem. The platform identifies which accounts are showing buying signals; Model T produces the engineering deliverable that converts those signals into active opportunities. For organizations with mature ABM infrastructure, Model T is the natural next step: feed high-intent accounts from the platform into the Model T pipeline, and arm the sales team with architecture concepts instead of generic outreach templates. For organizations considering a $250K+ platform investment, Model T offers an alternative starting point: skip the infrastructure and go directly to concept delivery for your highest-priority targets. At from €15K per pursuit, 5–8 pursuits per quarter costs less than the platform alone — and produces tangible engineering deliverables from day one. The strongest commercial position combines both: platform intelligence for broad market coverage, and Model T for deep conversion of the highest-value targets.
Yes. If you already have intent data identifying high-value accounts, Model T can prioritize those accounts for concept development. The platform provides the "who"; Model T provides the "what." This combination maximizes the ROI of both investments.
The 18-step pipeline includes its own qualification and research stages. Business analysts profile target companies using public data — product portfolios, job postings, patents, conference presentations, regulatory filings — to identify engineering opportunities. Intent data is useful but not required.
Electronics-specific demand-gen tools track component searches and datasheet downloads, which provides more granular signals than general B2B intent platforms. But the gap remains: knowing that an engineer downloaded a datasheet for a specific FPGA does not tell you what system they're building or what concept to propose. Model T bridges that gap.
Mid-market plans start around $50–100K/year, but enterprise-tier access with full intent data, ABM orchestration, and analytics typically exceeds $250K when implementation and headcount are included. The comparison holds at any price point: the platform provides signals, not engineering deliverables.