Expertise

Architecture, model programs, inference stacks, and agentic systems.

BitLabs connects model work, serving design, and application control so enterprise teams can move with clarity.

Inference Engineering

Inference engineering for high-throughput, low-latency AI.

We design serving paths that balance latency, GPU efficiency, and deployment constraints.

Inference engineering

We design serving systems around latency, throughput, memory, and cost.

Select the right parallelism for model size and traffic shape.
Tune batching, KV cache, and memory behavior for production use.
Carry serving decisions into observability and deployment operations.

Training5D x 4 GPUs

Data

GPU 0

GPU 1

GPU 2

GPU 3

Tensor

GPU 0

Shard 0

GPU 1

Shard 1

GPU 2

Shard 2

GPU 3

Shard 3

Pipeline

Stage 0

Stage 1

Stage 2

Stage 3

Sequence

GPU 0

GPU 1

GPU 2

GPU 3

Expert

Router

E0E1E2E3

Business Advisory

Design AI systems that fit real business constraints.

We shape architecture around the existing business, systems, approvals, and data rules.

Enterprise AI architecture

We turn business constraints into architecture decisions teams can actually operate.

Map business goals, data boundaries, and control needs early.
Choose where AI belongs in the workflow and where it does not.
Fit delivery to existing systems, approvals, and ownership.

Agentic Solutions

Design agentic systems with control and traceability.

We align orchestration, tool access, escalation, and model behavior with operating control requirements.

Control Layer

Explicit permissions, escalation paths, and auditability.

Control Layer

Model adaptation tied to domain behavior and release criteria.

Control Layer

Secure integration for internal data, tools, and human review.