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All three pillars

Reduce manufacturing waste

Build it right the first time.

Always the right tooling and machinery for consistent parts across your machine park — eliminating rework and turning tighter specifications into tangible, repeatable savings.

>$2M

Saved a year

By eliminating rework and producing consistent parts.

01

Specified for the machines you own

A design is resolved against the tooling and machinery actually in your shop, so the part is specified to be made on your equipment rather than adapted to it once it reaches the floor.

02

The same part, whichever cell runs it

Consistency across the machine park means output does not drift between cells, sites and operators — the variation that quietly turns into scrap and sorting.

03

Tight tolerances stop being a gamble

When a demanding specification is verified as achievable up front, it stops carrying a risk premium and becomes something you can quote and hold with confidence.

04

Rework removed, not priced in

Scrap, re-cuts and late engineering changes are the quiet cost of custom work. Removing them is what turns tighter specifications into tangible, repeatable savings.

Where the saving actually sits

Rework rarely appears as a line item. It shows up as margin that quietly never arrived — which is why eliminating it, rather than absorbing it, is where the saving comes from.

01 / Capabilities

From one model to the shop floor.

Manufacturability

CNC, welding, heat treatment, forging & casting — from one model.

CAM job runs, weld procedures, heat-treat schedules, forging dies and casting patterns all derive from the same parametric model. G-code validation, operator UI, and a clean audit trail.

  • CNC and FDM toolpaths from one source of truth
  • Welding procedures and heat-treatment schedules
  • Forging dies and casting patterns generated parametrically
  • G-code validation, operator UI, and audit-ready by default
CNC machining

02 / Why now

Industrial engineering complexity is accelerating faster than organizations can scale.

Energy companies are absorbing pressure from every direction at once. The result is predictable: engineering becomes the operational bottleneck of the enterprise.

  • Customization requests outpacing engineering capacity
  • Evolving compliance and certification standards
  • Compressed delivery and quoting timelines
  • Workforce shortages and retiring expertise
  • Manufacturing and supply-chain constraints
  • Growing documentation and traceability burden
2-8 weeks

on average for feasibility

Engineering teams are heavily involved in validating custom energy equipment requests, resulting in slower quote generation and reduced agility in responding to tenders.

6-12 months

for product customization

Even with mature CAD, PLM, and simulation stacks, a meaningful customization still rides on serial hand-offs between engineering, analysis, manufacturing, and QA.

20x

cost of late-stage rework

A manufacturability or compliance issue caught downstream — after FEA sign-off, or during casting, welding, machining, or assembly — is roughly 20x more expensive than catching it upstream in the design phase.

“Engineering is no longer a department. It’s the operational bottleneck of the enterprise.”
Farid Hamichi, CEO · ParaEnergy.ai
Agentic observability

Dashboard & Analytics.

Agentic systems only ship when you can see what they did and why. ParaForge instruments every agent — plan, tool call, evaluation, and hand-off — into a single trace so engineers stay in control of the work the platform performs on their behalf.

  • End-to-end agent traces

    Every plan, tool call, and hand-off captured as a span — from user intent through CAD, FEA, CAM, to manufacturing output. Drill into any job and see exactly which agent decided what, with which inputs.

  • Model & tool telemetry

    Token usage, latency, cost, and tool-call success rate per agent and per model. Spot the slow solver, the expensive prompt, the agent retrying its way to a result.

  • Evals, drift & deterministic replay

    Continuous evaluators score each agent output against engineering rules and prior baselines. Drift, regressions, and unsafe outputs are flagged before they reach production, and every run is replayable end-to-end for audit.

job · valve-DN200-PN40 · trace
live
  1. t+0.0splannerdecomposed: "design DN200 PN40 check valve"
  2. t+0.4scad-agenttool_call: parametric_body(seat=API600)
  3. t+12srules-agentcheck: wall thickness vs PN40 → PASS
  4. t+38sfea-agentsolver: stress · 612k DoF · converged
  5. t+41sevaluatoreval: σ_max 142 MPa < 0.66·σ_y → PASS
  6. t+44shumanapproval requested · materials swap
agent steps
37
tool calls
14
evals pass
12/12

See it on your own equipment.

Bring one custom enquiry you'd normally spend weeks on. We'll turn it into a build-ready, compliance-checked, priced design — live. Then you decide.

Book a 30-min demo