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kint
Decision Intelligence for Energy, Flexibility and DER

kint merit

Every kW, optimally placed. Every hour. The dispatch and bidding layer that extracts maximum revenue from distributed energy assets, under physical and market constraints.

Provably optimal EU AI Act ready Made in Germany
kint engine
run 4e1a · solving
Describe the problemlanguage + data
Build the modelwhite-box / learned
Solve to optimalitysolver
Optimal bid schedulecertificate
optimality gap 0.0%provably best · defensible

The problem

Revenue leaks every hour.

The market and capacity decisions couple across markets and hours so tightly that no human optimizes them by hand anymore. You leave revenue on the table every hour.

Coupled constraints like capacity, minimum bids and FCR symmetry are not solvable manually. Bolting on yet another tool feels like more complexity, not less.

What sub-optimal bidding costs
−18%
Revenue left on the tableevery day when each market is bid in isolation instead of co-optimized.
every hour
A coupled decisionacross day-ahead, intraday and FCR that no human re-solves by hand.
rule-based
How most VPPs still bidPlausible, not provably optimal, and hard to audit for a regulator.
Industry-typical figures. Illustrative, not a kint measurement.

The demo

Multi-market dispatch.

One 2 MWh battery. One day. Three markets co-optimized at once. Charge at the cheap hours, discharge at the peaks, hold symmetric FCR reserve where it pays more than energy.

Portfolio: BESS-01 · 2.0 MWh / 1.0 MW · 2026-06-15
solver: kint engine · status: OPTIMAL
Revenue today
8,420 €
+18% vs single-market
Cycles
1.4 / day
limit 1.8 / day
FCR availability
99.2%
prequalified
Optimality gap
0.0%
provably best
FCR reserve held
01 MW
0.62 MW
avg symmetric reserve
FCR symmetry binding. Up and down reserve held equal. The engine never bids energy it would need to honor a reserve call.
Revenue: co-optimized vs baseline
kint
co-optimized
8,420 €
"take the
highest price"
7,120 €
uplift+1,300 € · +18.4%
Baseline sells all energy to the single best price. It cannot value FCR reserve or the intraday spike, and it ignores capacity coupling across the day.
Send one day of assets and prices as JSON. We will return the optimal multi-market bid schedule.Optimize my portfolio
Works alongside your stackkint plugs into your VPP or DERMS via API or OEM. No rip and replace.
Any VPP / DERMSEMS & SCADAMarket gatewaysSend one day as JSON

Modules

One engine, four bidding jobs.

Plug in the module you need. They share the same coupled MIP and the same audit trail.

market bidding

Bid every market at once

Optimization across day-ahead, intraday and ancillary services at once. Merit-order aware, not one market at a time.

asset dispatch

Charge low, discharge high

Economic dispatch for batteries, EV fleets and heat pumps. SoC, cycle limits and ramp constraints honored every hour.

forecast-to-bid

Forecast in, bid out

Translate a load or generation forecast straight into a bid. Forecast in, optimal volumes and prices out.

portfolio & risk

Revenue, weighted by risk

Risk-weighted marketing across a fleet. Trade off expected revenue against price and imbalance risk per asset.

Take the highest price and you leave money on the table. kint co-optimizes every market and every hour, and proves the bid was optimal.
Every kW, optimally placed. Every hour.

How kint decides

The recommendation, and the reason for it.

Every bid comes with the binding constraints that produced it and the revenue delta versus the obvious alternative.

Optimal bid schedule · BESS-01 · 2026-06-15

run_id 7f3a9c1
solver kint engine
gap 0.0% · 48ms
Recommended schedule
Charge 02–04h day-ahead, discharge 17–18h, hold 0.5 MW symmetric FCR 14–16h.
Binding: capacity coupling at 18–19h and FCR symmetry 14–16h. SoC reaches lower bound 0.2 MWh right after the 18h peak.
+1,300 €
★ Hidden insight
Hold 0.4 MW off the day-ahead peak
Reserved for the intraday spike at 19:00. Day-ahead clears 214.80 €/MWh, intraday clears 268.10 €/MWh. +210 € for the same energy.
★ Hidden insight
FCR beats energy 14–16h
Midday prices are low. Holding symmetric reserve pays more than charging then discharging, and it keeps SoC headroom for the evening peak.

Why kint merit

Correct, not just plausible.

01

Simplifies, not adds

One API call. JSON in, optimal bids out. No new control stack, no new screens to learn. kint sits behind the VPP you already run.

02

All markets at once

Not take the highest price. The engine co-optimizes day-ahead, intraday and FCR under one coupled model, so every MW lands where it earns most.

03

Audit trail per bid

Every decision carries its binding constraints and inputs. Reproducible, defensible, EU AI Act ready.

Where kint fits

They connect and control. kint co-optimizes the bids.

VPP and DERMS platforms own asset connectivity and control. The bidding inside them is often rule-based, reinforcement-learning, or run per market separately. kint is the provably optimal multi-market co-optimization, pluggable as a module. We do not replace your VPP. We make its bids provably optimal.

Their approachkint merit
Energy management platforms
asset connectivity
Strong asset connectivity and energy management. Bidding logic is largely rule-based per market.Plugs in as the bidding layer and co-optimizes day-ahead, intraday and FCR together.
Aggregators & traders
VPP / trading
Large aggregation and trading reach. Marketing decisions optimized market by market.Adds the coupled MIP so capacity and FCR symmetry are solved jointly, not sequentially.
Flexibility & DERMS tools
control & forecasting
Flexible control and forecasting. Bidding often reinforcement-learning, plausible not provable.Gives a provable optimality gap and an audit trail per bid. Correct instead of plausible.

Powered by the kint engine

Provably best. Always defensible.

Provably best solution
Optimality gap plus solver certificate on every run.
Fully traceable
Audit-ready defense package for liable management.
Learns when no formula exists
Models the relationship from your data, with confidence gating.
EU AI Act ready
GDPR, EU hosting, Made in Germany.

Make every bid provably optimal.

Send your assets, prices and forecast. Get back the bid schedule that earns the most, under every constraint, with the audit trail to prove it.

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