Skip to main content
Nydros
Let's talk
A workflow, moving

One record in.Every step connected.

Seven interactive demos, from an agent handling a request to an order moving through checks and a sales signal becoming a meeting, a connected production line, automated pallet picking, an APXGP wind tunnel, live race strategy, and a business problem routed to where it would start. Follow each handoff, inspect the signals, and control the pace.

Explore agentic automation

One request.A network of decisions.

Watch an agent connect the dots, ask for help when something needs your judgment, then pick up exactly where it stopped. You control the handoff.

The agent network
Ready to begin
360 connected nodes
Agent activityHuman decision
Signals move both ways
  1. 01Request
  2. 02Understand
  3. 03Use tools
  4. 04Human review
  5. 05Resume
  6. 06Result
Activity trail
  1. 01Sample request received

The neuron-like connections represent information moving between an agent, its tools, and human reviewers. They are a visual metaphor, not a view inside an AI model. The important part is the handoff: when information conflicts, the agent pauses, keeps its place, and continues only after your correction.

02 · Next demoLiving workflow — An order, checked
From inbox to report

One order.Seven checkpoints.

Follow a single order as it is captured, checked, routed, reconciled, reviewed, approved, and reported. Move your pointer to steer the field.

The orb represents one order moving through a connected workflow, from capture and data checks to human approval and reporting. Understanding these steps helps you spot repeated work and potential errors, so you can decide what to automate and where your team needs to stay involved. This is an illustrative workflow, not client results. The right solution depends on your systems, data, and requirements.

Revenue engine · Sales and marketing

One buying signal.A team of agents, one rep in charge.

Follow a single buying signal as agents enrich it, score it, draft the outreach, check every claim, and hand the one judgment call to a person. Then watch the reply come back and the pipeline update itself.

The revenue engine
Ready to begin
8 agents · 1 person
Nine stations from signal to report. The rep sits above the line between Check and Send.01SignalMarketing02EnrichMarketing03QualifyMarketing04DraftSales05CheckComplianceRepHuman07SendSales08TrackSales09ReportMarketinghuman gate
Select any station to see what that agent does, what it never does, and which systems it touches.
  1. 01Signal
  2. 02Enrich
  3. 03Qualify
  4. 04Draft & check
  5. 05Rep review
  6. 06Send & track
  7. 07Report
Activity trail
  1. 01Signal detected · Harbor Foods Group

Illustrative simulation. The company, contact, scores and message are invented; no email is sent and no CRM is changed. The point is the shape of the work: agents do the gathering, drafting and logging, a person owns the claim and the relationship.

Open the full revenue engine
03 · Next demoConnected line — PLC to SAP
A connected production line

From the PLC to SAP.Every pallet, every tag.

An illustrative extruded-snack line. Controllers run the machines, Ignition carries the data from the plant floor through the DMZ to MES, SAP issues the orders, and the WMS closes each pallet with a license plate. Watch the commands move in both directions.

Nydros · Connected line
Shift 2 · 14:00–22:00 · crew BPackML EXECUTEPLC scan —pallets 0
00:00:00
Data path · ICS → DMZ → ITevery packet labeled by protocol
Pull the cordfault injection
watch the strobe, HELD, the ack, the reason code and the OEE dip
Command & event loglive
    Order · batch · trace—
    —
    pallets0 / —
    last HUwaiting
    ——
      Alarms · holds · stopsPLC → SCADA → HMI
        Plant view · shift to dateillustrative
        OEE
        —
        A — · P — · Q —
        cases / hour
        —
        —
        downtime · shift
        —
          quality · Cpk
          —
          FPY — · —
          energy
          —
          —
          changeover
          —
          —
          Assets · sanitation · peopleCMMS · CIP · IdP
              —
                Security · scheduleIEC 62443 · SAP
                    Tags · trend
                    Mix · Extrude · Dry · Coat · Cool · Bag · Case pack · Palletize · Wrap · PutawayIllustrative line · not client results

                    Illustrative production line, not client results. Vendor names are shown to illustrate a typical integration pattern. The right architecture depends on your systems, data, and requirements.

                    04 · Next demoLayer picker — Two claws, four orders
                    Automation in motion

                    Two claws. Twenty-four sources.Four finished orders.

                    Two independent claws share one continuous frame and pallet racking. Each follows its own picking sequence, building two mixed orders on the same front-side conveyor. All four finished pallets sit next to each other, with six layers per order. Start together, pause, or step through each movement.

                    Automated layer picker

                    Shared frame / LP–01 + LP–02
                    Two claws ready to pick
                    Preparing the picking cell…
                    01 / Source pallets

                    0 of 24 picked

                    02 / Finished pallets

                    0 of 4 complete

                    Playback speed
                    05 · Next demoWind tunnel — Airflow to decision

                    Agentic AI suite / Aerodynamics

                    Inside the wind tunnel.
                    Every signal, connected.

                    Step into the fictional APXGP test cell. Follow the air around a scale race car, inspect its sensors, and see how a reading becomes a decision.

                    APXGP.

                    Aerodynamic inspection

                    WT–01 / 60% scale concept

                    Tunnel ready

                    Preparing the wind tunnel…

                    Hardware overlay / conceptualTap heads & routing enlarged for clarity25 mm ride / 0° yaw
                    Airflow / illustrative
                    Inspect a sensor

                    IoT / OT signal path

                    From hardware to an engineering decision.

                    Select a labeled sensor on the car to follow its signal. These are simulated samples, not a connection to physical equipment.

                    Awaiting runT+0.00 s

                    1. Physical measurement
                      01

                      PS-01 / Front wing

                      Awaiting sample

                      Wing pressure relative to the tunnel reference

                    2. OT acquisition
                      02

                      DAQ-01 / edge gateway

                      Ready to acquire

                      The scanner converts pressure to an electrical signal. A wired DAQ timestamps it for the telemetry stream.

                    3. Telemetry processing
                      03

                      Calibrate / align / assess

                      Cp pending

                      Calibrate pressure, align timestamps, normalize by dynamic pressure.

                    4. Inspection output
                      04

                      Decision support / human gate

                      Waiting for run

                      Front-wing suction and load distribution

                    Supporting OT inputs
                    Illustrative setup values

                    LB-01 / strut load balance
                    2,450 N load · 643 N drag
                    RH-01 / laser ride-height gauge
                    25 mm · floor-clearance check
                    PT-00 / tunnel reference probe
                    1.53 kPa dynamic pressure · normalization

                    Conceptual architecture. Demo samples update at 4 Hz; this is not a hardware sampling specification. Total forces come from the load balance, not a single pressure tap. The pressure field and recommendations are illustrative model outputs.

                    50m/s / 180 km/h
                    2050 m/s FIA limit
                    25mm
                    1040 mm model scale
                    0°
                    −8°+8°
                    1. 01 / Prepare
                    2. 02 / Spin up
                    3. 03 / Acquire
                    4. 04 / Validate
                    5. 05 / Compare
                    6. 06 / Review

                    Current setup vs baseline

                    Reference setup / 50 m/s · 25 mm · 0°

                    Downforce
                    0.0%
                    Drag
                    0.0%
                    Front balance
                    0.0 pp

                    Setup estimates. Complete an inspection to pin this run. Baselines last only for this visit.

                    Find the load. Keep the drag.

                    Gain at least 2% downforce without increasing drag. Keep air speed and yaw equal to the baseline, stay inside the run envelope, then complete an inspection.

                    Hint: lower the ride height a little, but keep it at or above 15 mm.

                    Agentic inspection sequenceHuman approval required

                    1. Acquire

                      Sensor agent

                    2. Validate

                      Validation agent

                    3. Assess

                      Aero agent

                    4. Review

                      Engineer

                    Run an inspection to trace each sensor reading through the agent workflow.

                    Fictional APXGP concept. Simulated telemetry based on public FIA tunnel limits and typical model-scale trends. It is not CFD output, real team data, or an official affiliation.

                    SignalsDecisionsHuman review

                    Select a sensor to move closer. Try the airflow layers, then lower the ride height and compare your run with the baseline. Below 15 mm the illustrative floor stalls. Guided mode follows the inspection automatically; camera presets take back control. Audio is off by default. Next inspection step works without continuous motion. Changing conditions clears the current run and traces, but keeps your pinned baseline.

                    Telemetry decision support / Race strategy

                    One tyre call.Trace every decision.

                    The wind tunnel checks the car. The pit wall decides what comes next. Change the conditions and see the evidence behind every recommendation.

                    2024-era Austin scenario / fictional car 7Synthetic telemetry · no live feed
                    APXGP.

                    Race strategy

                    RS–02 / Decision support

                    Running

                    Race control

                    Green flag

                    Race distance

                    L18 / 56

                    Track / rain risk

                    36.0°C / 18% 30 min

                    Tyre data quality

                    Current · 10 Hz model

                    M

                    Strategy recommendation

                    Box lap 24 Fit medium

                    End-of-lap entry · 2 C3 sets available

                    Candidate pit window

                    L20–28within 2 s

                    Next-best strategy

                    +2.5 srace time

                    Race engineer review

                    Recommendation only. No stop armed.

                    United States Grand Prix · Car 7

                    Circuit of the Americas, Austin

                    RAIN RISK · 30 MIN 18%
                    S1S2S3
                    1234567891011121314151617181920Sector timing loop 1S1Sector timing loop 2S2Sector timing loop 3S3Temperature probeTemperature probeWEATHERCAR 7
                    Speed175 km/hLateral G2.9Tyre surface est.98.2°
                    West / stadium · DryCentral / esses · DryEast / hairpin · Dry
                    12 km/h

                    Gold marks the current sector. Follow car tracks the nearest turn; select a corner to pin its estimated apex conditions. Actual car channels are alongside. Timing loops and pit lane are schematic.

                    5.513 km20 turnsCounter-clockwise56 laps

                    Challenge the call

                    Inject a scenario. Watch the evidence change.

                    Adjust model inputs

                    Inputs change the scenario, not a real sensor. Rain arrival is compressed; the tyre-feed outage lasts eight simulated seconds. Changes withdraw any approved call.

                    36 °C
                    2050 °C
                    18 %
                    0100 %
                    12 km/h
                    040 km/h
                    0 laps
                    020 laps

                    Connect the call

                    What changes the decision?

                    Tyre model

                    Wear costs lap time

                    +0.084s / added tyre lap

                    0.059 s/lap of fuel relief can hide the degradation in raw lap times.

                    0.85 s/lap fresh-set advantage at equal fuel

                    Timing estimate

                    Where do we rejoin?

                    18.4s behind reference rival

                    1.6 s gap less 20.0 s net pit loss. Warm-up and other cars are excluded.

                    A quick stop alone does not guarantee clean air.

                    Track surface + forecast

                    Slick surface

                    0.01/ 1 mean moisture

                    Radar risk is 18% in 30 minutes. A forecast is not water on the racing line.

                    Wet-tyre plans need a forecast surface crossover.

                    Illustrative concept, not client results. Fictional APXGP car 7; simulated data throughout. No official team, tyre supplier or championship affiliation. Hand-tuned strategy model; not trained AI.

                    Circuit geometry: Tomislav Bacinger · MIT
                    Explore the full strategy story
                    Your route · A problem, routed

                    Want to use AI?Start where it will actually pay off.

                    Say what you want AI to do, or what is slowing you down. See the right starting point, only the stages it needs, where you sign off, and what you leave with.

                    Nydros/ ROUTE ENGINE
                    SAMPLE ROUTE 1/8

                    Illustrative routing. Matches come from keywords against Nydros services and engagements, not an AI model. Actual scope, stages and partners are agreed in a proposal. Nothing here is a client result.

                    Open the full route engine

                    The next move is a conversation

                    Make your next move a better one.

                    Bring the workflow that slows you down, the decision on your desk, or the idea you want to put to work. We will help you find a sensible next step.

                    Tell us what you have in mind

                    A specific challenge. An honest conversation. A clear next step.