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A deep-tech studio for applied AI

We build AI that does the work

CyberSapient builds custom models, agents, and automation for teams who want results, not hype. Tell us the number you want to move. We build the thing that moves it.

Two minutes, no sales call. Get your score and where to start.

We work inside the stack you already run

OpenAIAnthropicAWSAzureGoogle CloudSnowflakeDatabricksSAPSalesforceServiceNowKubernetesPyTorchOpenAIAnthropicAWSAzureGoogle CloudSnowflakeDatabricksSAPSalesforceServiceNowKubernetesPyTorch
The gap

Most companies have bought AI.
Few have made it pay.

You have the subscriptions and the dashboards. But the real work still moves at human speed, and most pilots never reach production. We close the gap between buying AI and getting value from it. We do that by building, shipping, and handing over systems that earn their keep.

A figure crossing from a cold, static landscape into a warmer, productive one

Pilots that stall

Great demos that fall apart on real data, security, or scale.

Work stuck between systems

People copying data between tools that were never built to connect.

AI you cannot trust yet

No tests, no audit trail, no control, so it never gets a real job.

70%

of manual work removed from core tasks

4x

faster cycle times once automated

Weeks

from idea to a working pilot

100%

of the IP stays yours

The kind of results we aim for with clients. We agree the metric up front, then measure it.

Open source, runs in your environment

Your data never has to leave your walls

We favor open models and open-source infrastructure you can run yourself. Everything we build can be deployed in your cloud, your private network, or fully on-prem, so you keep control of your data, your cost, and your IP.

See how we deploy

Open models

Llama, Mistral, and other open weights you can host and fine-tune yourself.

Self-hosted

Run on your hardware or VPC with Ollama, vLLM, and your own keys.

Open data layer

pgvector, Qdrant, and Milvus for retrieval you fully own.

Private by design

No data sent to third parties unless you choose to. Full audit trail.

How we deliver

One clear path, idea to production

No two-year programs and no black boxes. This is the path every engagement runs, each stage shipping something real you can measure.

  1. 1

    Discover

    Find the highest-value use case and agree the metric.

  2. 2

    Data foundation

    Connect, clean, and index the data the system will use.

  3. 3

    Models & agents

    Build the models and agents that do the actual work.

  4. 4

    Guardrails & evals

    Add tests, controls, and audit trails you can trust.

  5. 5

    Deploy (your cloud)

    Ship to production inside your own infrastructure.

  6. 6

    Run & improve

    Monitor, measure, and tune against the agreed number.

Every stage is a checkpoint. You see working software at each one, and nothing moves forward until the last step earns it.

Forward-deployed engineering

We embed with your team,
in your context

The best AI is built next to the people who do the work, not handed over a wall. Our engineers sit with your team, learn your operation, and ship working software in days. We build on a reusable foundation, so each problem we solve makes the next one faster.

Embedded engineers

Senior people work alongside your team, not from a distance.

Your real workflows

We build against your actual data, systems, and edge cases.

Working software fast

You see something real in days, then we iterate together.

A compounding foundation

Each build reuses the last, so value grows and stays yours.

Built with the best

The tools at the front of AI

We work across the leading models, frameworks, and infrastructure, and pick the right ones for your job, your budget, and your constraints. We favor open source and tools you can run yourself.

Models & APIs

  • OpenAI
  • Anthropic
  • Google Gemini
  • Meta Llama
  • Mistral
  • Cohere
  • Perplexity
  • Hugging Face
  • Ollama
  • Replicate

Agents & Frameworks

  • LangChain
  • LangGraph
  • LlamaIndex
  • CrewAI
  • MCP
  • Temporal
  • FastAPI
  • Ray
  • PyTorch
  • TensorFlow
  • Modal

Data & Retrieval

  • Snowflake
  • Databricks
  • pgvector
  • Pinecone
  • Qdrant
  • Milvus
  • Weaviate
  • Elasticsearch
  • Redis
  • ClickHouse
  • Kafka
  • Spark

Cloud, Run & MLOps

  • NVIDIA
  • AWS
  • Azure
  • Google Cloud
  • Kubernetes
  • Docker
  • vLLM
  • Vercel
  • Grafana
  • Prometheus
  • Datadog
  • Python

Systems we integrate

  • Salesforce
  • SAP
  • ServiceNow
  • Workday
  • NetSuite
  • Slack
  • Jira
  • Notion
  • Confluence
  • Shopify
  • HubSpot
  • Zendesk

A selection of what we build with. We are not tied to any vendor, and we choose the latest tools that fit the job.

Find your highest-value AI move in two minutes

Take the assessment. You get your readiness score and a clear place to start, then we turn it into a fixed-price plan in one working session.