Ascend AI Brickbuilder:  The Repeatable Build System for Databricks

Ship your first governed agent in less than three weeks. Scale from one win to a fleet with 80% automation, 60% TCO reduction, and 90% policy coverage.

What are Brickbuilder Solutions?

Koantek’s Brickbuilder Solutions are purpose-built accelerators developed in collaboration with Databricks to solve real customer challenges. We created them to shorten the time it takes for enterprises to realize value from the Databricks Data Intelligence Platform. Whether modernizing legacy systems, enabling governance, or scaling AI.

Each solution combines proven blueprints, automation, and Databricks best practices. They’re designed to simplify complexity, reduce risk, and deliver outcomes fast, from standing up a production-ready Lakehouse in weeks to unlocking AI-powered insights with governed pipelines.

By embedding governance, security, and FinOps into every accelerator, Koantek ensures you get more than a quick start. You get a scalable foundation that supports your business long term.

What Ascend AI Adds

Ascend AI™ accelerates the path from data to production AI. Built on Databricks best practices, it adds governance, automation, and scalability to every stage of the agent lifecycle.

Day-Zero UC Workspaces

Provision Unity Catalog workspaces instantly with Terraform automation.

CI/CD with DABs

Use Databricks Asset Bundles for seamless build, deploy, and promote cycles.

Lakeflow AI Pipelines

Ingest, train, evaluate, and infer with orchestrated Lakeflow pipelines.

Feature Store + Vector Search

Enable storage-optimized retrieval and ML feature management at scale.

Agent Bricks + DSPy

Choose a fast path with Agent Bricks or customize with DSPy code.

Model Serving with Guardrails

Deploy endpoints on Model Serving with governance through AI Gateway.

App Delivery Options

Deliver simple UIs through Databricks Apps or Lakebase for consumption.

Why Programs Stall

Bespoke Scaffolding, Uneven Governance, Opaque Cost

Teams win with a first agent, then slow down as they rebuild scaffolding, struggle to enforce policy at scale, and can't see cost/latency tradeoffs to promote safely. Ascend AI standardizes the path.

Where Ascend AI Lands First

Healthcare: PHI-aware clinical assistant & document intelligence

BFSI/Insurance: underwriting & claims copilots

Retail: price optimization & churn prevention

Manufacturing: predictive quality & OEE

Public Sector: fraud analytics & FOIA copilots

Governed Build →
Scale on Databricks

With Ascend AI™, your team gets a production-ready Databricks environment for building, testing, and scaling AI agents. From secure UC workspaces to pipelines, model serving, and governance guardrails, everything is designed for speed, reliability, and control.

1. Provision

Stand up UC workspaces as code with Ascend Terraform for day-zero readiness.

2. Ingest

Load and validate data pipelines using Lakeflow and Delta Live Tables.

3. Build Features

Engineer features and sync Delta to Vector with Retrieval Fabric.

4. Author

Design agents with Agent Bricks UI or customize with DSPy code.

5. Evaluate

Test performance in MLflow 3.x with Agent Evaluation for trusted results.

6. Serve

Deploy endpoints on Model Serving with governance enforced by AI Gateway.

7. Observe

Monitor pipelines with Inference Tables, dashboards, and FinOps insights.

8. Promote

Advance workloads through Databricks Asset Bundle gates on quality, cost, and latency.

Ship Agents Two Ways, Same Guardrails

We treat agents like software. Versioned, evaluated, and promoted behind quality, cost, and latency gates.

Agent Bricks Fast Path

Interactive UI-driven workflows for rapid prototyping with built-in cost and quality insights.

DSPy Code Path

Pythonic, testable agents with automated prompt tuning for advanced customization.

Retrieval Fabric

Storage-optimized Vector Search with full UC lineage for trustworthy retrieval.

DAB + Lakeflow

Declarative pipelines to standardize dev, stage, and production environments.

Policy Packs

Pre-mapped UC + AI Gateway defaults for HIPAA, Basel, and regulatory compliance.

Start with a 3–4 week MVP, then scale

Koantek’s proven playbook delivers quick wins in weeks and a foundation to scale securely across the enterprise.

Phase 1 Starter (4 Weeks)
  • UC‑enabled workspace & cluster policies
  • 1 Lakeflow/DLT pipeline + quality checks1
  • Feature Store table + Delta→Vector index
  • 1 agent (Agent Bricks or DSPy) + evaluations
  • Model Serving endpoint + baseline AI Gateway policy
  • DAB bundle, runbook & C4 diagram
Phase 2: Scale (6 Weeks)
  • Multi‑env DAB promotion gates
  • Lakehouse Monitoring + FinOps dashboards
  • HIPAA/Basel policy pack templates
Phase 3: Enterprise (12 Weeks)
  • Multi‑agent fleet (serverless GPU optional)
  • Comprehensive compliance & SRE playbooks
  • Apps/Lakebase productization paths

Start your Brickbuilder Journey Today

Enhance and empower your data with tailored solutions from Koantek.

Contact Us