Industrial automation engineering intelligence
Botnes turns incomplete scopes into automation plans you can defend.
Upload an RFQ, SOW, email, layout, photo set, or rough brief. Botnes reconstructs the need and returns 2-4 technical concepts with work packages, cost ranges, risks, missing information, and a report your engineering team can review.
Best balance of throughput, shutdown exposure, and reusable engineering.
- Work packages
- 7
- Open risks
- 4
- Source links
- 18
One continuous project record
From client evidence to an engineering decision.
The workflow stays short because the complexity belongs inside the engine, not inside another rigid form your team has to maintain.
Evidence
Bring whatever the client sent.
RFQs, SOWs, email threads, PDFs, layouts, photos, voice notes, spreadsheets, and site-visit findings all enter the same project record.
Analysis
Reconstruct the engineering problem.
Botnes extracts facts, finds gaps and contradictions, retrieves relevant industrial knowledge, and builds multiple technical approaches.
Decision
Compare the viable paths.
Engineers review concepts, assumptions, work packages, risks, timelines, and subsystem-level cost ranges before selecting a direction.
Report
Turn the decision into a usable dossier.
Export a structured internal handoff or client-facing report with the evidence trail, open questions, exclusions, and next actions attached.
Multiple ways forward
One scope rarely has one valid answer.
Botnes compares credible automation architectures instead of forcing the first plausible idea into a quote. Explore the example below.
Phased cell upgrade
Deploy a modular automation cell around the bottleneck, then extend it after acceptance data is available.
- ROM investment
- $520k-$680k
- Indicative timeline
- 24-30 weeks
- Concept confidence
- High
Why it works
- Balances speed and technical risk
- Creates a repeatable cell standard
Tradeoffs to resolve
- Requires two commissioning windows
- Phasing plan must be explicit
Illustrative project data. Final engineering decisions remain subject to engineering review, supplier validation, and site evidence.
Engineering depth
More than a document summary.
The engine is designed around the decisions an automation team must make before committing senior engineering time or capital.
Need reconstruction
What is the customer actually trying to change, automate, integrate, or improve?
Technical concepts
Which architectures are plausible, from a targeted retrofit to a complete line modernization?
Contradiction review
Which payloads, cycle targets, budgets, dates, and environmental claims do not agree?
Subsystem costing
What do robotics, EOAT, vision, safety, controls, conveyance, engineering, and commissioning contribute?
Delivery risk
What must be validated before the team commits engineering time, capital, or commercial exposure?
Client follow-up
What are the smallest, highest-value questions or site checks needed to move the project forward?
How we test the engine
We plant the contradictions ourselves, then seal the answer key.
No public benchmark exists for tender analysis, so we write the tender. A full industrial specification, drafted to read like an ordinary one, with a fixed number of contradictions, impossible constraints, and misapplied standards buried inside it. The grading grid is sealed before the engine sees the document. Then we count what it caught.
A complete tender, written the way a real one arrives, not a test fixture.
Contradictions, impossible constraints, and standards applied to the wrong equipment.
Food processing and machining, same engine, no sector-specific tuning between runs.
On one tender, the same scope of work costed out at 900k or 3.3M euros depending on which of the client's own statements you believed. That gap was not hidden in the document. It sat between two lines of it.
Most recent machining run: 28 of 28. The food-processing benchmark that came before it started at 11 of 28 and is not there yet. We publish both because a tool that only reports its wins is the problem it claims to solve.
Your engineering memory
The general market, calibrated to how your team delivers.
Botnes combines industrial automation knowledge with your preferred vendors, past projects, cost structure, exclusions, standards, and reviewed outcomes. The result becomes more specific to your business without hiding the source of a recommendation.
Control stays with engineering
Traceable, editable, organization-scoped.
Evidence before confidence
Facts, assumptions, and recommendations stay linked to project sources.
Human approval
Engineers select scenarios, edit costs, validate feasibility, and approve reports.
Workspace isolation
Organization roles and project access separate owners, admins, engineers, and viewers.
Founding partner program
Bring one tender. Ideally one you already lost.
We are working with a small number of automation teams before general availability. You bring one anonymized tender, preferably one that is already closed so nothing is at stake. We run it and walk your engineers through what the engine found, line by line, against what actually happened on the project.
What you get
- A full analysis of your own tender, not a demo dataset
- An account for your whole team, with no seat limits
- A direct line to the engineering team, and features shaped by your workflow
- Founding partner pricing when we open general availability
What we ask
- One engineer available for two short sessions
- Honest feedback, especially when the output is wrong
- Permission to use anonymized findings to improve the engine
Botnes will be priced as an annual subscription for the organization, with unlimited users and no per-seat billing. Founding partners help set that number rather than discover it.
Request a partner slotBook the session
Thirty minutes, one real project, your own engineers.
We walk through intake, analysis, decision, and report on the kind of opportunity your team actually receives, then tell you plainly whether Botnes is a fit yet.
- 01
- 30-minute technical walkthrough
- 02
- Your own project type and workflow
- 03
- Clear fit, implementation, and pricing discussion