Ceris

Your model. Our infrastructure. No DevOps required.

You built the optimization logic. Ceris runs it — on Gurobi, HiGHS, or OR-Tools — without the servers, license management, or platform team.

One API call. Results in seconds.

Ceris handles execution, scaling, and compliance. You keep full control of your model.

Read: How to Add Route Optimization to Your Product (Without an OR Team) →

Global Map: Optimization Loop
[ USER NOTEBOOK ] | (deploy) ▼ [ CERIS API GATEWAY ] ───┐ | | (routing) (logging) ▼ ▼ [ SOLVER NODE ] ───▶ [ AUDIT LEDGER ] (Gurobi/HiGHS) (Immutable)

Serverless Compute Layer: Your models run on our infrastructure. Bring your own Gurobi license or use HiGHS/OR-Tools. We handle cold starts, parallelization, and audit trails.

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Quant engineers, operations researchers, and optimization teams.

Feature Index
◆ 10x Experimentation VelocityRun 100 solves in parallel in ~15 seconds. No capacity planning, no infrastructure management.
◆ Multi-Solver IntelligenceHiGHS, OR-Tools, Gurobi BYOL. Same problem, multiple solvers, validated results.
◆ Compliance Built-InSigned audit packets for Model Risk Management on every result.
◆ BYOL SupportBring your existing Gurobi license. We host, you optimize.
◆ Hardware AgnosticClassical today. Quantum routing when hardware reaches parity.
Audit Trail: Compliance Node

Every solve returns a compliance packet.

{ "computation_id": "ceris_29f8a3b1", "timestamp": "2025-12-30T14:23:01Z", "input_hash": "sha256:a1b2c3...", "solver": { "name": "highs", "version": "1.7.0" }, "output_hash": "sha256:d4e5f6...", "signature": "ceris_sig_..." }

Immutable storage. Write-once policy. Third-party verifiable.

Code: Delivery Route Optimization

Request:

curl -X POST https://api.ceris.io/v1/solve \ -H "Authorization: Bearer sk_..." \ -d '{ "problem_type": "mip", "objective": "minimize_total_distance", "constraints": { "vehicles": 8, "max_hours_per_route": 8, "time_windows": true }, "locations": [ {"id": "warehouse", "lat": 40.7128, "lng": -74.0060}, {"id": "stop_1", "lat": 40.7580, "lng": -73.9855}, {"id": "stop_2", "lat": 40.7489, "lng": -73.9680} ] }'

Response:

{ "status": "optimal", "routes": [ {"vehicle": 1, "stops": ["warehouse", "stop_2", "stop_1"], "distance_km": 12.4}, {"vehicle": 2, "stops": ["warehouse", "stop_3", "stop_4"], "distance_km": 15.1} ], "total_distance_km": 27.5, "solve_time_ms": 891, "audit_url": "/v1/audit/c3f8a2d1" }

Multi-Solver Comparison (same routing problem, 3 solvers):

{ "solvers": { "highs": { "time_ms": 891, "cost": "$0.00", "total_km": 27.5 }, "ortools": { "time_ms": 634, "cost": "$0.00", "total_km": 27.5 }, "gurobi": { "time_ms": 412, "cost": "$0.03", "total_km": 27.5 } }, "verification": "all solvers found same optimal solution ✓" }
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