PRODUCTION AI AND MISSION-CRITICAL ENGINEERING SERVICES

Engineering services across production AI, accelerated computing, and mission-critical systems.

OPTIME combines production AI, accelerated computing, embedded systems, real-time media, telecom, networking, security, and infrastructure engineering. We help organizations build, modernize, deploy, and optimize systems where latency, cost, privacy, hardware, reliability, and operational control matter.

Choose a focused service or bring us a challenge that crosses several engineering disciplines.

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ONE ENGINEERING PARTNER ACROSS THE STACK

Services organized around the system you need to build.

Engagements may begin with an AI application, private infrastructure, embedded product, communications platform, or performance problem. OPTIME can deliver one focused service or combine multiple disciplines under a unified architecture and delivery team.

Built on production experience across 40+ major products and systems, with engineering partnerships extending up to nine years across telecom, broadcast, embedded systems, infrastructure, healthcare, and AI.

AI & Accelerated Systems

Build, deploy, and optimize production AI and compute-intensive systems across applications, models, runtimes, accelerators, private infrastructure, and operational environments.

Build the AI application with Production AI Systems Engineering. Deploy and operate it privately with Private AI Infrastructure & Inference Optimization. Optimize how software executes on hardware with Accelerated Computing & Performance Engineering.

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Production AI Systems Engineering

Design and build evaluated production-AI systems that combine the right language, vision, speech, document, retrieval, and decision components for the workflow.

Multi-model and multimodal AI applications
Document intelligence and enterprise knowledge systems
RAG, hybrid retrieval, and reranking
Bounded agents and workflow automation
Computer vision, speech, audio, and language systems
Evaluation, security, observability, and production readiness

Move beyond a model demonstration to a controlled system that can operate reliably within real business workflows.

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Private AI Infrastructure & Inference Optimization

Deploy and operate AI on controlled on-premises, private-cloud, hybrid, or air-gapped infrastructure while improving cost, latency, utilization, and capacity.

Private, hybrid, and air-gapped AI platforms
Model serving, routing, and distributed inference
Kubernetes, OpenStack, and GPU infrastructure
Multi-vendor CPU, GPU, NPU, and FPGA infrastructure
Quantization, batching, caching, and memory optimization
Capacity, power, latency, throughput, and cost optimization

Run more useful AI workloads on controlled infrastructure with more predictable cost and performance.

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Accelerated Computing & Performance Engineering

Profile, redesign, and optimize compute-intensive software across CPUs, GPUs, NPUs, FPGAs, memory systems, networks, and heterogeneous hardware.

C, C++, Rust, and assembly optimization
CUDA, ROCm/HIP, oneAPI/SYCL, SIMD, and FPGA acceleration
HPC and parallel-computing architecture
Memory, data-movement, and zero-copy optimization
High-performance packet, media, vision, and AI pipelines
Benchmarking, profiling, capacity, power, and latency engineering

Increase throughput, reduce latency and infrastructure cost, and use available hardware more effectively.

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Real-Time, Edge & Connected Systems

Engineer products and infrastructure that connect devices, media, communications, networks, and operational software under real-time and long-running production constraints.

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Embedded, Firmware & Connected Systems Engineering

Build firmware, embedded Linux, device software, IoT platforms, and connected products from hardware bring-up through secure field operation.

Firmware, bootloaders, BSPs, and device drivers
Embedded Linux, Yocto, Buildroot, and bare-metal systems
Microcontrollers, x86, ARM, hardware interfaces, and peripherals
IoT gateways, device platforms, and connected-product architecture
Secure updates, device identity, telemetry, and fleet operations
Edge inference and AI-enabled devices where appropriate

Deliver dependable connected products that operate within real hardware, power, network, and lifecycle constraints.

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Video, Audio, Broadcasting & Streaming Engineering

Engineer broadcast, OTT, IPTV, VOD, WebRTC, codec, transcoding, and low-latency media systems from capture and processing through delivery and operation.

Broadcast, professional media, IPTV, OTT, and VOD
Video and audio codecs, transcoding, and adaptive bitrate
Low-latency and real-time streaming
Set-top-box, media-server, and device software
Hardware-accelerated video and audio processing
Intelligent media, speech, vision, metadata, and semantic workflows

Build efficient media systems that preserve quality, latency, interoperability, and reliability at scale.

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Real-Time AI & WebRTC Engineering

Engineer the real-time systems underneath voice, video, data, and multimodal AI across WebRTC, SIP, media infrastructure, inference, recording, and secure deployment.

WebRTC, libwebrtc, P2P, mesh, SFU, MCU, and mixed topologies
SIP, VoIP, RTP/RTCP, and SIP-WebRTC gateways
STUN, TURN, ICE, signaling, and media infrastructure
Real-time transcription, translation, TTS, voice AI, and video AI
Recording, participant tracks, composition, and media processing
Private/on-premises deployment, E2EE, mTLS, and low-latency inference

Deliver private, interoperable, low-latency communications and real-time AI systems across browsers, devices, networks, and enterprise infrastructure.

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Telecom & Real-Time Communications Engineering

Build and modernize real-time communications and telecom platforms where protocols, media quality, interoperability, scale, and operational reliability must work together.

WebRTC, SFU, MCU, and media-server systems
VoIP, SIP, H.323, SS7, SBCs, IVR, and gateways
CPaaS, UCaaS, and CCaaS engineering
Mobile core, private LTE, and private 5G
Traffic, billing, fraud, and telecom analytics
Speech AI, communications intelligence, and AI participants

Deliver dependable communications systems across browsers, devices, telecom networks, and enterprise applications.

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Networking, SDN & Open Infrastructure Engineering

Engineer programmable, observable, high-performance networks and open infrastructure across control planes, data planes, switching, routing, private cloud, and security boundaries.

SONiC, Open vSwitch, OVN, and open network operating systems
SDN controllers, P4, OpenFlow, OpenConfig, and network automation
DPDK, VPP, eBPF/XDP, and accelerated packet processing
Routing, switching, traffic analysis, visibility, and telemetry
OpenStack and Kubernetes networking
Network security, segmentation, policy, and resilient infrastructure

Create open, programmable infrastructure with greater control, portability, performance, and observability.

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Advisory & Delivery

Start with a focused technical assessment, modernize a difficult architecture, or add a specialist team with long-term ownership of the system.

Consulting, Architecture & Modernization

Turn technical and business constraints into practical architecture, modernization, evaluation, and delivery plans for AI and mission-critical systems.

AI architecture and production-readiness reviews
Private infrastructure and deployment planning
Performance, cost, capacity, and reliability assessments
Systems architecture and technical due diligence
Legacy modernization and platform migration
Architecture rescue and complex-problem investigation

Reduce technical uncertainty and create a controlled engineering roadmap before committing to a larger build.

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Specialist Engineering Teams

Add integrated engineers or specialist pods for long-running products that require rare technical combinations, continuity, and accountable delivery ownership.

C++ Linux and systems engineering teams
AI inference, GPU, and performance specialists
Video, codecs, WebRTC, and media engineers
Embedded, firmware, and device engineers
Telecom, networking, and packet-processing specialists
Rust, Go, application, and platform engineering teams

Extend the customer’s engineering organization without losing architectural context, product knowledge, or technical accountability.

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FIND THE RIGHT STARTING POINT

Which service fits your challenge?

Build a multi-model or multimodal AI application
Production AI Systems Engineering
Deploy AI privately or reduce inference and GPU cost
Private AI Infrastructure & Inference Optimization
Optimize C++, GPU, FPGA, media, packet, or compute-heavy software
Accelerated Computing & Performance Engineering
Build firmware, embedded Linux, IoT, or a connected product
Embedded, Firmware & Connected Systems Engineering
Build or modernize a broadcast, OTT, streaming, codec, or media platform
Video, Audio, Broadcasting & Streaming Engineering
Build WebRTC, voice/video AI, or secure real-time communications systems
Real-Time AI & WebRTC Engineering
Build VoIP, CPaaS, UCaaS, CCaaS, or mobile-core systems
Telecom & Real-Time Communications Engineering
Build programmable networks, open infrastructure, or accelerated data paths
Networking, SDN & Open Infrastructure Engineering
Review architecture, plan modernization, or investigate a complex problem
Consulting, Architecture & Modernization
Add a long-term team with difficult-to-hire engineering expertise
Specialist Engineering Teams

NOT SURE WHERE THE PROBLEM BELONGS?

Bring us the system, constraint, or engineering challenge.

Some problems cross AI, infrastructure, hardware, networking, media, and application boundaries. Describe what must be built, improved, or stabilized, and OPTIME will help identify the appropriate engineering path.

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