Pricing

Analyze massive document volumes with Cerebras

Swiftask integrates Cerebras' hardware acceleration to process thousands of complex documents. Get instant insights from your largest datasets.

Result:

Turn complex archives into actionable knowledge in seconds, without compromising on precision.

AI tool saturation with large document sets

Processing thousands of pages, contracts, or technical reports often stalls standard LLMs. Analysis times become prohibitive and accuracy drops when data loads exceed standard infrastructure limits.

Main negative impacts:

Excessive processing times: Traditional tools hang during ingestion of large corpuses, slowing down your decision-making cycles drastically.
Loss of global context: Splitting documents to respect token limits reduces the AI's ability to understand cross-document relationships.
High operational costs: Scaling API calls to process large volumes results in unpredictable costs and unacceptable latency.

Through the Cerebras connector, Swiftask offloads your analysis to an ultra-fast compute architecture. You process entire document bases in one pass, ensuring both speed and contextual coherence.

BEFORE / AFTER

What changes with Swiftask

Standard AI limits

You attempt to analyze 500 contracts. The system requires manual splitting into small batches, generates timeout errors, and loses track of cross-file clauses.

Cerebras + Swiftask performance

You submit your entire document base. Cerebras processes data in parallel via its dedicated architecture. You receive a global summary report in moments.

Your high-performance analysis workflow in 4 steps

STEP 1 : Document centralization

Upload your massive corpuses into your secure Swiftask workspace.

STEP 2 : Cerebras engine activation

Select Cerebras as the analysis engine to leverage its compute power.

STEP 3 : Insight extraction setup

Configure the entities or insights needed (clauses, risks, KPIs).

STEP 4 : Processing and synthesis

The agent processes data and generates a consolidated dashboard.

Advanced analysis capabilities

The system simultaneously analyzes structure, semantic content, and relationships between documents.

Target connector: The agent performs the right actions in cerebras based on event context.
Automated actions: Structured data extraction, corpus comparison, anomaly detection, multi-document summarization, vector similarity search.
Native governance: Cerebras' speed allows processing complex queries in real-time where other solutions take hours.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-cerebras@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Competitive advantages of high-performance processing

1. Accelerated Time-to-Insight

Reduce analysis time from days to minutes.

2. Precision on large volumes

Maintain consistent analysis quality across your entire archive.

3. Unlimited scalability

Increase document counts without impacting agent performance.

Robust and secure infrastructure

Swiftask applies enterprise-grade security standards for your cerebras automations.

Isolated processing: Your data is processed in a dedicated and secure environment.
Enterprise compliance: Strict adherence to confidentiality standards during analysis.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Raw performance vs traditional methods

Metric	Before	After
Processing speed	Several hours	A few seconds
Max volume per query	Limited by context window	Massive (full corpuses)

Take action with cerebras

Turn complex archives into actionable knowledge in seconds, without compromising on precision.

Generate complex code at record speed with Cerebras

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