Data Processing & AI Integration

From data to outcome —
with engineering control

We build and operate the technical layer that turns incoming data into structured AI requests and production-ready results. Our servers are located in Ukraine.

Discuss a project

What you get

Not a demo and not a “prompt pack”. A working system that runs daily, with predictable behavior, stable integrations and a clear responsibility zone.

We do not compete with model providers. We make their capabilities usable inside real business workflows.
COST

Lower API spend

We compress and structure raw inputs before sending them to AI. You pay for useful context, not for noise.

SPEED

Faster turnaround

Intermediate computations happen on our side: aggregation, validation, enrichment. AI receives a clean request — you receive a usable output.

CONTROL

Predictable operation

Monitoring, retries, fallbacks and scaling are part of the system. If a provider is slow or unavailable — the pipeline continues to function.

Services

PHASE 1

Technical design

Data sources, processing pipeline, compute needs, integration points, and a clear scope of responsibility.

PHASE 2

Deployment & integration

We deploy the server-side layer on our infrastructure in Ukraine and connect your systems to AI services via API.

PHASE 3

Operations (monthly)

Monitoring, updates, scaling, cost control, and ongoing improvements based on real usage.

How it works

An engineered data pipeline bridging the gap between messy operational reality and high-performing AI.

STEP 1

Data Ingestion

Continuous capture of raw signals—sensor telemetry, logs, DB records, or external APIs—without disrupting existing infrastructure.

STEP 2

Compute Layer

Data is normalized, filtered for noise, and aggregated. The raw stream is converted into a mathematically strict, token-optimized context.

STEP 3

AI Orchestration

Dynamic routing to the optimal LLM or specialized model via API. Includes automatic failovers, retry logic, and strict latency control.

STEP 4

Actionable Execution

The probabilistic response is validated, strictly structured (e.g., JSON), and securely injected back into your deterministic business logic.

Enterprise-grade security

We treat your data as your most valuable asset. Security and isolation are built into the core of our technical pipeline, not added as an afterthought.

PRIVACY

Zero data retention

Your corporate data is strictly processed in transit. We ensure it is never logged by model providers or used to train public foundational AI models.

INFRASTRUCTURE

Controlled perimeter

The entire processing layer is deployed on our protected servers in Ukraine. You interact with a single, secure gateway under our full engineering control.

ACCESS

Deterministic isolation

AI never gets direct access to your databases or core systems. It receives only heavily filtered, scoped context and returns data through rigid validation constraints.

TRANSPARENCY

Full auditability

Every incoming request, structured prompt, AI response, and system action is logged. You have complete transparency into how and why automated decisions are made.

Start with a technical call

We define the task, data sources, integration method and compute profile before deployment.

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