AI Automation Agency

Your agents,
working.

We design and deploy custom AI agents, data pipelines, and intelligent workflows that turn your raw data into revenue. Purpose-built for your infrastructure. Fully managed.

47+Pipelines deployed
99.7%Uptime SLA
2.4MRecords processed
trace-cli
live

Built with the tools that power modern infrastructure

OpenAI
Snowflake
AWS
Anthropic
Stripe
PostgreSQL
Airflow
Kafka
dbt
Pinecone
OpenAI
Snowflake
AWS
Anthropic
Stripe
PostgreSQL
Airflow
Kafka
dbt
Pinecone
What we build

Systems that think, move, and scale.

End-to-end automation infrastructure — from raw data ingestion to autonomous AI agents making decisions in production.

01

Data Infrastructure

Robust, scalable data foundations — ingestion, transformation, and storage built for real-time workloads.

ETL / ELT pipeline design
Data warehouse architecture
Real-time streaming ingestion
API integrations & connectors
Data quality monitoring
02

AI Agents & Automation

Autonomous systems that reason, act, and learn — from document processing to multi-agent orchestration.

Autonomous AI agents
Document processing & extraction
Conversational AI systems
Decision automation engines
Multi-agent orchestration
03

Intelligent Workflows

Cross-platform orchestration that connects your tools, routes decisions, and handles failures gracefully.

Cross-platform orchestration
Event-driven automation
Approval & routing logic
Error handling & retry flows
Human-in-the-loop systems
04

Analytics & Monitoring

Real-time visibility into every layer of your stack — dashboards, alerts, and predictive insights.

Real-time dashboards
KPI tracking & alerting
Anomaly detection
Custom reporting pipelines
Predictive analytics models
Capabilities

Deep expertise across the entire automation stack.

From low-level data infrastructure to high-level AI orchestration — we cover the full vertical.

AI & ML
LLM IntegrationRAG PipelinesVector SearchFine-tuningPrompt EngineeringMulti-Agent Systems
Data Engineering
ETL PipelinesData WarehousingStream ProcessingData LakesCDC ReplicationSchema Design
Platform Engineering
REST / GraphQL APIsMicroservicesEvent-Driven ArchInfrastructure as CodeCI/CD PipelinesContainerization
Automation
OCR & Document AIEmail AutomationCRM AutomationWorkflow EnginesScheduling SystemsNotification Pipelines
Tech Stack

Production-grade tools. No toy demos.

AI & ML
01OpenAI
02Anthropic
03LangChain
04LlamaIndex
05Pinecone
06Hugging Face
Data & Pipelines
01Snowflake
02BigQuery
03dbt
04Apache Airflow
05Kafka
06Fivetran
Infrastructure
01AWS
02GCP
03Vercel
04Docker
05Terraform
06Kubernetes
Languages & Frameworks
01Python
02TypeScript
03Next.js
04FastAPI
05Node.js
06PostgreSQL
How it works

From audit to autopilot in four phases.

A structured, engineering-driven process. Every phase has clear deliverables and checkpoints.

01

Audit

Map your data landscape, identify gaps, and uncover automation opportunities.

We analyze your existing systems, data flows, and manual processes to build a complete picture of where automation will deliver the most impact.

02

Architect

Design the automation blueprint — systems, integrations, and logic flows.

Every system gets a detailed technical architecture document covering data models, integration points, failure modes, and scaling strategy.

03

Build & Deploy

Engineer, test, and deploy directly into your stack. No disruption.

We build in sprints with continuous deployment. Every component is tested against real data before going live. Zero downtime migrations.

04

Optimize

Monitor performance, refine logic, and evolve as your business scales.

Post-launch, we monitor system performance, optimize costs, and iterate on logic as your requirements evolve. Ongoing support included.

Why Trace

Precision-built.
Not off-the-shelf.

Every system we build is architected for your specific data, workflows, and scale requirements.

01

Custom Architecture, Every Time

No templates, no boilerplate. Every system is designed from the ground up for your specific data and workflows.

02

Engineering-First Approach

We're engineers, not consultants. We write the code, build the pipelines, and deploy the infrastructure.

03

Outcome-Obsessed

Every engagement is measured in hours saved, errors eliminated, and decisions accelerated.

Results

Measured in impact, not deliverables.

68%

Avg. efficiency gain

120+

Hours saved monthly

5x

Faster deployment

99.2%

System accuracy

2.4M+

Records processed daily

47

Systems deployed

Data InfrastructureStreaming

Real-time data pipeline for fintech platform

Replaced 40+ hours of manual data processing with a real-time pipeline handling 2M+ records daily. Reduced data latency from 24 hours to under 30 seconds.

99.97%

Latency reduction

2.4M

Records/day

40+/wk

Manual hours eliminated

AI AgentsDocument AI

AI-powered document processing for legal ops

Built an intelligent extraction system that reduced contract review time from days to minutes. Multi-model pipeline with human-in-the-loop validation.

94%

Faster processing

99.2%

Extraction accuracy

3,200+

Contracts/month

Multi-AgentAutomation

Multi-agent system for e-commerce operations

Deployed autonomous agents handling inventory forecasting, pricing optimization, and customer support triage across 12 product categories.

+18%

Revenue impact

67%

Support tickets automated

91%

Forecast accuracy

FAQ

Common
questions.

Can't find what you're looking for? Reach out directly.

We work with mid-size to enterprise companies across fintech, legal tech, e-commerce, healthcare, and SaaS. If you have data challenges and manual processes that need automating, we can help.

Most projects run 4-12 weeks depending on complexity. A data pipeline might take 4-6 weeks, while a full multi-agent system could take 8-12 weeks. We scope everything upfront.

We integrate with your existing stack whenever possible. Our goal is to enhance what you have, not rip and replace. We build connectors, bridges, and automation layers on top of your current infrastructure.

We offer project-based pricing with clear deliverables and milestones. We scope everything upfront and provide detailed proposals after the initial audit.

Yes. Every engagement includes 30 days of post-launch support. We also offer ongoing retainer packages for monitoring, optimization, and iterative improvements.

We're model-agnostic and select the best tools for each use case. We work with OpenAI, Anthropic, open-source models, and specialized models depending on your requirements and data sensitivity needs.

Available for new projects

Let's build something
precise.

Tell us about your data challenges. We'll show you what's possible.