Tinverse Platform Vision
Tinverse is building a configurable stack that combines custom Linux, NVIDIA edge AI modules, AMD/Xilinx FPGAs, deterministic motion control, verified state-machine tooling, EtherCAT, and cloud analytics for teams building serious robots.
Robots leaving the lab need perception, deterministic motion, cybersecurity, update control, observability, and a build process that survives review. Tinverse targets the infrastructure layer between commodity hardware and finished robotic products.
Real-time Linux, FPGA motion control, EtherCAT, and deterministic state machines in one architecture.
Repeated integration work becomes Tinverse Linux, hardware references, SDKs, and long-term support.
Robotics teams where reliability, traceability, and security affect purchasing decisions.
Servo loops, sensor capture, and fault reaction need bounded timing, not best-effort Linux behavior.
Edge AI workloads need NVIDIA GPU acceleration, camera pipelines, simulation, and model deployment.
Medical, laboratory, industrial, and safety-sensitive products need traceable builds, SBOMs, cybersecurity discipline, and release records.
Supported custom Linux images for approved boards, with RT/non-RT variants, CUDA/no-CUDA options, signed images, SBOMs, manifests, and release notes.
Jetson plus FPGA control boards, drive-slice interfaces, FPGA ABI, and power-electronics reference designs for custom actuators.
State-machine infrastructure, EtherCAT motion integration, simulation, telemetry, and cloud analytics designed for long-lived products.
Tinverse Linux is the customer-facing image family: board policy, kernel policy, image composition, vendor-stack integration, flashing, updates, and release records.
Production image composition, board-specific builds, license manifests, SBOM/CVE records, and deployable rootfs workflows for embedded products.
Reproducible development environments, custom kernel work, source-built records, and controlled experimentation where transparent build graphs matter.
Flexible robotic control, robotic arms, dual-encoder plausibility, deterministic actuation, and engineering records that can stand up to review.
Traceable sample handling, deterministic I/O, uptime analytics, chain-of-custody events, and secure update paths.
EtherCAT, DS402-like drive semantics, GPU perception, FPGA timing, and fleet-level diagnostics for deployed systems.
Jetson/FPGA robotics without re-solving the same board support, kernel, and motion-interface problems for every program.
RT images, build manifests, SBOM/CVE workflows, signed images, and clear release history.
FPGA timing, encoder capture, current-sense synchronization, PWM generation, and hard fault response.
Telemetry, update records, thermal headroom, fault trends, and device health for deployed systems.
Flexible robotics design, control architecture, simulation, telemetry, and edge/cloud integration.
Deterministic hierarchical state machines with formal semantics and generated traces for control software that has to be reviewed later.
DPDK-oriented userspace EtherCAT master direction, cyclic process data, DS402-style motion integration, and simulation support.
Device identity, telemetry, events, update records, thermal headroom, torque trends, fault frequency, and fleet reliability views.
In medical, laboratory, and industrial robotics, the technical work and the review trail cannot be separated. Tinverse keeps the operating system, motion software, FPGA interfaces, cybersecurity records, and telemetry tied back to the releases that created them.
Requirements, architecture, state behavior, test records, and release history stay close to the code.
SBOMs, vulnerability handling, signed updates, secure boot, and controlled release records are part of the platform.
Telemetry, fault trends, uptime, thermal headroom, and release-to-field correlation close the loop.
Board policy, FPGA timing, Linux image composition, kernel variants, and cloud observability are designed together.
Formal state semantics, RTL checks, simulation traces, release manifests, and vulnerability handling become part of the product memory.
Customers in medical, lab, and industrial domains value conservative engineering, reproducibility, review packets, and long-term support.
NVIDIA Jetson Orin and Thor make high-performance edge AI practical in robotic systems. AMD/Xilinx FPGAs provide deterministic I/O and motion timing where Linux and GPUs should not be the only safety boundary. Tinverse combines those pieces with controlled Linux builds, verification tooling, and deployment records.
Tinverse is for teams building real robotic products that need to combine high-performance perception, real-time control, motion hardware, and long-term field support in one coherent platform.
