flologixai.com

SLMs have a context window problem.
We fix it for production.

SLMs are smart enough now to ship real work. We handle the infrastructure setup and context optimization so your team gets value from day one — direct, or via an MSP partner.

SLMs hit a context wall in production.

Everyone's talking about 128k and 1M+ context windows for massive LLMs. When you deploy an SLM in production, that's a trap.

Self-hosting is its own job

Choosing models, sizing GPUs, wiring inference, securing access, keeping it running — none of it is the work your team was hired to do.

Memory blows up fast

SLMs are memory-constrained. Pushing the window degrades retrieval quality before it crashes.

Latency punishes long prompts

Attention is quadratic. Sub-second responses require disciplined context, not big windows.

Hallucinations grow with noise

Every token of unfiltered context is another chance to derail the model.

Smart context. Set up for you. Run by your team — or your MSP.

Smart context management

Upstream compression, reranking, summarization buffers. The right tokens reach the model; the rest stay home.

Your infrastructure, your control

We set up the infrastructure on your hardware (or your MSP partner's). Your data never leaves your perimeter; your team never has to become an infra shop.

Built for ML teams to operate

Models, users, API keys, audit, usage. One place to land your company's AI strategy — operated by your team, or by an MSP partner if you'd rather focus on shipping.

How it works

Step 1

Deploy

Your team or your MSP partner installs the platform on your infrastructure.

Step 2

Configure

Pick the models you want, set up your users, mint API keys.

Step 3

Build

Your apps consume the API. Smart context management is handled automatically.

Built on FLAI Platform

We built it against the hardest workload first.

FLAI GCS is a ground control station we built to validate FLAI Platform against the hardest kind of inference workload: real-time, safety-critical, regulated. The platform serves a Gemma SLM running on-device, with smart context management keeping latency sub-second. If it holds up there, it holds up for your apps.

See the FLAI GCS validation →

Early access is opening soon

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