01Supervise
Start with expert behavior.
Import a JSONL or Hugging Face dataset, choose a student model, and distill trusted traces into a portable LoRA adapter.
PRIVATE LLM POST-TRAINING / PRIVATE BETA
Turn open models into private AI you control.
Move beyond prompting. g factor adapts open-model weights with supervised fine-tuning (SFT) and reinforcement learning (RL) for specific business tasks. Keep the resulting adapters and checkpoints, qualify them against held-out workflows, and serve them inside your private cloud or on-premises environment—without sending sensitive inference to a public model API.
Own your trained weights SFT + RL on 500+ open models Reproducible qualification Private cloud or on-premises serving
RUN / RL-0248Commerce operations agent
TrainingBASE MODELQwen 27B
METHODGRPO + LoRA
ENVIRONMENTOpenEnv
TRAINING REWARDPolicy progress
reward success
Task success↑
Policy compliance✓
Efficiency↑
ONE GOVERNED PATH FROM BASE MODEL TO PRODUCTION SKILL
01 / DATA02 / SFT03 / RL04 / EVALUATE05 / DEPLOY
ECOSYSTEM
Trusted partners & technology ecosystem
Training, compute, model access, expert data, evaluation, and distribution.
OWNED INTELLIGENCE / COMPOUNDING ADVANTAGE
Rent capability. Own the intelligence that compounds.
Frontier APIs are useful infrastructure. But the workflows that define your product or margin should not depend on another provider's pricing, policies, or roadmap. g factor turns your data, expert feedback, edge cases, and definition of good into model assets you can keep, improve, qualify, and serve under your control.
02Reinforce
Train inside real workflows.
Connect a versioned task environment, configure typed actions and reward channels, then optimize behavior with GRPO.
03Prove
Qualify before promotion.
Freeze a benchmark plan, evaluate held-out tasks, and compare base and adapted policies with reproducible evidence.
04Serve
Keep deployment under your control.
Promote a qualified checkpoint to a private cloud or on-premises endpoint, keep sensitive inference inside your security boundary, and monitor every version.
HOW IT WORKS
Make post-training a system—not a collection of scripts.
Every promotion decision stays tied to the exact inputs and evidence that produced it.
Choose a base model and bring expert traces or a ready recipe.
Bind an environment, reward profile, compute topology, and hard budget.
Run SFT, GRPO, or both while comparing metrics and checkpoints.
Evaluate on frozen, held-out contracts and review reproducible artifacts.
Serve an approved adapter inside your private cloud or on-premises security boundary.
MODEL + SKILL CONTRACTA checkpoint is yours to keep, but it is not production-ready until its environment, benchmark, and provenance travel with it.
PLATFORM
Frontier-grade post-training without building an AI lab.
Models you can own
Turn proprietary data, expert feedback, and evaluation criteria into open-model adapters and checkpoints that improve with every training cycle—then keep, version, export, and privately serve them.
500+ open-source models
Start from Qwen, DeepSeek, Mistral, GLM, Kimi, Inker, Llama, Muse, Glimmer, and many more—without rebuilding the post-training stack for each architecture.
Hugging Face + OpenEnv compatible
Bring datasets and models through Hugging Face interfaces, then attach typed, stateful training environments through OpenEnv.
Commercial agentic skill factory
Access proprietary commercial training gyms and benchmarks built for outcome-based agent skills across specialized domains.
Distributed training to 1T+ parameters
Scale from compact models to trillion-parameter-class runs with distributed training across managed GPU topologies.
Private, efficient model serving
Serve approved models inside customer-controlled infrastructure while balancing data residency, throughput, latency, capacity, and cost.
SOLUTIONS
One platform across the post-training lifecycle.
Explore each capability in detail—from changing model weights to proving and serving the resulting skill.
Compare LLM solutions01SFT + GRPO
LLM Post-Training Platform
Turn open models into owned, specialized skills with supervised fine-tuning and reinforcement learning.
Explore solution02OPENENV
Private AI Training Environments
Train against typed workflows, hidden deterministic checks, and authoritative task outcomes.
Explore solution03QUALIFICATION
Reproducible LLM Evaluation
Compare base and adapted policies on frozen held-out tasks before any promotion decision.
Explore solution04PRIVATE SERVING
Private LLM Deployment for Sensitive Industries
Serve approved adapters and checkpoints inside your private cloud or on-premises environment for sensitive workloads.
Explore solutionCOMMERCIAL OPENENV MARKETPLACE
Private environments for the workflows your agents need to master.
Browse OpenEnv-compatible environments for LLM post-training, or connect your own. Each skill pairs a bounded domain task with native tools, hidden cases, and machine-checkable outcomes. The environments below are a sample of the broader commercial catalog.
MARKETPLACE SKILL
Kernel / Triton
PyTorch + Triton + CUDAOptimize PyTorch operators with Triton or CUDA. Hidden numerical cases and stable GPU timing gate the speed reward.
PRIVATE ENV / GPUMARKETPLACE SKILL
Verilog RTL design & verification
SystemVerilog + Icarus + Verilator + Yosys/SKY130Implement synthesizable ALUs, counters, PWM, UART, SPI, and synchronous FIFOs. Hidden simulation, lint, formal equivalence, mapped area, and timing checks gate reward.
PRIVATE ENV / NATIVE EDAMARKETPLACE SKILL
Modelica multiphysics modeling
Modelica + OpenModelica + energy-balance checksBuild a coupled electro-hydraulic actuator across electrical, rotational, hydraulic, and thermal domains. Hidden boundary cases, solver convergence, trajectory error, and conservation checks gate reward.
PRIVATE ENV / MODELICAMARKETPLACE SKILL
Parametric mechanical CAD
CadQuery + OpenCascade + OpenSCAD + STEP/STLCreate dimensioned plates, flanges, brackets, lids, and spacers from parametric source. Hidden feature probes and artifact reopen checks verify the final solid.
PRIVATE ENV / NATIVE CADMARKETPLACE SKILL
Lean 4 theorem proving
Lean 4 + mathlib v4.33.1 + axiom auditProve held-out mathlib theorems in their original module context. The target declaration is withheld; Lean elaboration, forbidden-token checks, and axiom auditing determine correctness.
PRIVATE ENV / LEANMARKETPLACE SKILL
OpenFOAM CFD optimization
Gmsh + OpenFOAM/SU2 + force coefficientsOptimize a 2D airfoil across hidden Reynolds and Mach operating points. Mesh validity, solver convergence, residuals, and lift-to-drag targets gate qualification.
PRIVATE ENV / CFDMARKETPLACE SKILL
FreeCAD CAM & CNC planning
3-axis milling + ISO 6983 G-code + FreeCAD/OpenCascadePlan facing, pockets, drilling, slots, contours, and fixture-safe moves for 6061-T6. Posted G-code is reparsed and swept for collisions, tool limits, finished geometry, and cycle time.
PRIVATE ENV / FREECADMARKETPLACE SKILL
Blender scene engineering
Blender 5.0 + bpy + .blend/glTF artifactsBuild and repair structured scenes across modeling, assembly, materials, lighting, cameras, animation, and export. Native scene state and exported artifacts—not screenshots alone—determine success.
PRIVATE ENV / BLENDERMARKETPLACE SKILL
2D CAD / DXF automation
AutoCAD-compatible DXF MVP + layers + blocks + dimensionsCreate and repair structured drawings with geometry, layers, dimensions, blocks, layouts, offsets, and controlled DXF export. Entity-level and artifact checks verify the result.
PRIVATE ENV / CAD MVPMARKETPLACE SKILL
SKY130 analog IC design
SKY130 PDK + ngspice + DRC/LVS/PEXSize a transistor-level 1.2 V LDO from a 1.8 V supply. Hidden PVT, temperature, mismatch, noise, complete-DUT DRC/LVS/PEX, and post-layout simulation gate qualification.
PRIVATE ENV / SKY130MARKETPLACE SKILL
Quantitative finance
Formula DSL + CPCV + IC + PBO + cost and regime stressDesign original cross-sectional alpha signals in a restricted formula DSL. Purged cross-validation, next-period rank IC, trading costs, turnover, overfit probability, novelty, and regime stress gate reward.
PRIVATE ENV / QUANTMARKETPLACE SKILL
Game & rendering engineering
GLSL 330 + hidden scenes + frame timingWrite a GLSL fragment shader that matches visible and hidden scenes while every measured frame stays within 16 ms.
PRIVATE ENV / READYMORE IN THE MARKETPLACEMany more specialized environments are available in the marketplace.Discuss marketplace access
BUSINESS MODEL
Revenue compounds across training, gyms, compute, and serving.
The platform starts with paid enterprise adoption and expands with usage-based economics as proprietary skills move from training gyms into production.
Discuss enterprise accessGym rollout take rate
A percentage platform fee on every licensed training-gym rollout or episode call.
Managed compute margin
A percentage margin on training and inference compute routed across integrated infrastructure providers.
Enterprise platform
Annual contracts for large-scale post-training, governance, private integrations, and hands-on AI adoption.
Proprietary model hosting
Private hosting, operations, and service levels for qualified proprietary models and adapters.
PRIVATE INFRASTRUCTURE / SENSITIVE WORKLOADS
Deeply Specialized AI without data leaving your organization.
Run owned open models inside customer-controlled private cloud or on-premises infrastructure. Keep sensitive prompts, outputs, weights, and operational evidence within your security boundary while retaining production-grade serving controls.
Explore private deploymentKeep data inside
Process sensitive prompts and outputs within infrastructure governed by your organization.
Own the complete asset
Retain the base model, adapters, checkpoints, tokenizer, and deployment configuration.
Govern every endpoint
Control access, versions, promotion evidence, monitoring, and rollback boundaries.
Control serving economics
Balance privacy, capacity, throughput, latency, and cost instead of accepting a single external API tier.
G FACTOR TECHNOLOGIES
SELECT DESIGN PARTNERSTurn your hardest workflow into a trainable agent skill.
g factor technologies inc. is a Delaware C-Corporation building infrastructure for specialized GenAI post-training. We work with select teams on environments, reward design, qualification, and deployment inside customer-controlled infrastructure.
REQUEST DEMO
Show us the workflow you want your agent to master.
Tell us about your model, environment, and evaluation needs. We'll follow up to schedule a focused platform walkthrough.