Start with a workflow. Build around your industry.
Explore where agents can support the work your teams already do. These are illustrative use cases, not reported customer deployments. Synaptix services help shape, build and operate them in your environment.
Where does your team need momentum?
Six stages. One delivery model.
Applied AI engineers, ML researchers and platform architects working alongside your teams — on Synaptix as the production substrate.
Enterprise data foundation
Discovery, ingestion, labeling, lineage and feature stores across structured, unstructured and multimodal data.
Synthetic data generation
Privacy-preserving synthesis and rare-event simulation for vision, voice, sensor and tabular data.
Custom model tuning
SFT, RLHF, RLAIF, LoRA/QLoRA, distillation and continual pretraining for LLMs, VLMs, voice, video, world and robotics models.
Production deployment
Optimized serving on Synaptix Cloud, hyperscalers or on-prem.
Inference Platform + Agents
Compose tuned models with Inference Platform routing, Agent Runtime, RAG, tools and multi-agent orchestration.
Governance & assurance
Model cards, evals, red-teaming, audit trails and regulatory packs (EU AI Act, NIST AI RMF, ISO 42001, HIPAA, SOC2).
Built for video, voice, world models and robotics.
Beyond text LLMs — multimodal and embodied frontiers where most enterprises lack in-house depth.
Video models
Generation, understanding and editing for media, marketing, training and inspection.
Voice models
Real-time speech, multilingual TTS, consent-controlled cloning and contact-center voice agents.
World models
Spatial, physics-aware foundation models for simulation, autonomy and digital twins.
Robotics
VLA policies, teleop pipelines, sim-to-real tuning and fleet-scale deployment.
Pick the shape that fits your program.
AI Value Discovery (2–4 weeks)
Use-case shaping, data readiness, ROI model and 90-day production plan.
Model Studio (6–12 weeks)
Synthetic data + tuning for a target model.
Agent Factory (8–16 weeks)
End-to-end build of governed, multi-agent workflows with Inference Platform routing and HITL.
Managed AI Operations
Ongoing tuning, evals, drift, FinOps and compliance across your agent and model estate.
AI Audit & Risk Review (3–6 weeks)
Assess agent risks, evaluation coverage and controls against your organization's requirements.
Embedded Pods
Joint pods with your teams, co-located with business units, building and operating in production.
Explore the workflow patterns
Turn your data into a governed AI workforce.
Talk to us about a discovery sprint — across any vertical, including voice, video, world models and robotics.