How fast is the delivery?

The Focused Systems Fix is a focused engagement to map, fix, and make observable one critical workflow behind your product (like onboarding, trial → paid, or reporting).

Is this a no-code agency?

No. We write custom code (Node.js, Python, Next.js) because it is more reliable, secure, and scalable than drag-and-drop tools like Zapier.

Do you work with my existing software?

Yes. We integrate with any API-enabled tool. Common stacks include HubSpot, Salesforce, Stripe, Xero, and custom Postgres databases.

What happens after the project is done?

You own the code and IP 100%. We offer a 2-week support window for adjustments, and optional monthly retainers for ongoing optimization.

Agentic Systems for B2B Teams

Your highest paid people lose two hours a day hunting for answers.

This Information Tax eats directly into margins and delays execution. We engineer custom internal systems that consolidate scattered records into unified, actionable context.

Every intelligence layer is deployed into your existing infrastructure, transforming institutional knowledge into permanent, version-controlled repository assets. No rented seats, no vendor lock-in. Just raw capital systems built for production.

Agentic AI built for execution, not just conversation

Infrastructure Audit: $500

Full Name

Work Email *

Company *

Team Size / Role

Try the live demo

                             Paid discovery + live test on your real data
                        

                            [01] Pick one painful workflow
                            [02] Submit sample (scanned PDFs OK, max 50 to 80 pages)
                            [03] Live RAG demo on your documents
                            [04] 1 to 2 page plan + fixed quote
                        

                            $500 Credited. See Live Results
                        

[ ENGINE_LIVE: STRIPE_V3 ]

v3.0.42_STABLE

[14:22:01] > INITIALIZING_VECTOR_SEARCH...
[14:22:02] > ANALYZING_IDEMPOTENCY_KEYS...
[14:22:03] > SYNTHESIZING_ARCHITECTURE_SPEC...

                            "For multi-party payouts in Stripe Connect, use Account Tokens for KYC-less onboarding layers while maintaining split-fee logic in the Transfer API..."
                        

// TECHNICAL_PROOF

Stop imagining AI.
Start deploying systems.

We don't build "chatbots." We build high-throughput intelligence layers that reason across your live documentation and data corpus with provable precision and zero-guess integrity.

EXPLORE_THE_DEMO ()

Austin Sector Fragility: The Mid-Market Tax

We target the surgical ops-heavy goldmines where Austin mid-market firms (20-80 employees) reach an operational ceiling. These are the "broken links" in your information chain.

[SEC_ID: PROPTECH]

Document Stacking Bottleneck

Manual review of 400-page loan files (W-2s, bank statements, CDs) into logical bundles. 10-15% defect rates in "stacking" lead to underwriting latency and audit risk.

The Fix: Distributed ingestion pipelines (Ray/Docling) that automate document classification and ROI verification with 90%+ hit rates.

[SEC_ID: LOGISTICS]

The "Human Router" Friction

Information silos between estimators and installation crews. Data "leaks" from site specs to iron fabrication, leading to material miscounts and installation delays.

The Fix: Real-time "Capital Systems" that act as a single source of truth for field documentation, using RAG to bridge the estimator-to-crew gap.

[SEC_ID: B2B_SAAS]

The Ingestion Bottleneck

Massive log data or unstructured dark web sourcing breaks traditional ETL. Scalability leads to "Semantic Drift" and latency jumps of up to 40% in RAG retrieval.

The Fix: Advanced partitioning and metadata filtering that handle multimodal complexity without sacrificing real-time freshness.

[ DIAGNOSTIC_AUDIT ]

Quantify the Information Tax.

Use the tactical calculator below to determine the precise annual EBITDA drag caused by manual retrieval and context fragmentation.

Workflow: Weekly Retrieval Hours

10 hrs

// MEASURED_PER_RELEVANT_HEAD

Economic: Avg. Hourly Rate

$55/hr

// INCLUDES_1.3X_LABOR_BURDEN

Burden Multiplier 1.3x

Effective Hourly Cost $72/hr

Operational Latency 520 hrs

EBITDA_DRAIN_TOTAL

-$37,180

INITIATE_RECOVERY_PROTOCOL ()

[02] ARCHITECTURAL_SCALE_OUT_PROTOCOL

HNSW / IVFFlat Indexing

We deploy disk-optimized Hierarchical Navigable Small World indexes via pgvectorscale for 10x retrieval speed at 99.9% recall on billion-vector sets.

64-Core SSD RAID 10

High-concurrency query execution spanning 64-core threads with NVMe RAID arrays delivering >1M IOPS for disk-heavy searching.

Citus Table Sharding

Horizontal sharding across distributed Postgres nodes for 10TB+ corpora. Read replicas scale search throughput from 400 to 4,000+ QPS.

Faithfulness Trace

Every response is grounded in semantic retrieval trace. We deploy RAGAS-level observability to prevent hallucinations and maintain 100% data integrity.

// SYSTEM_INTEGRITY: OPTIMIZED_FOR_BEYOND_DEMO_STATE

[PREPARATION_LAYER]

What You Need for the Audit

One Workflow: A concrete loop where people constantly hunt for information.
One Real Example: A live ticket, job, or deal you can pull up on screen.

Access: Ability to screen‑share the tools that hold that data (CRM, Drive, etc.).
Decision Maker: Someone on the call who can speak for budget and environment access.

How the Infrastructure Audit & Capital Sprint Works

A 3-step process to quantify your opportunity and demonstrate immediate asset value.

01

Step 1: Map + Design

Map the one painful workflow where your team burns time hunting for answers. Analyze your data flow to choose the right retrieval architecture.

02

Technical Plan + Quote

Get a 1 to 2 page technical plan, a Go/No-Go decision, and a fixed-price build quote within 72 hours.

[MATH_OF_EBITDA_RECOVERY]

                                ROI = (Cmanual × Erate) - (Cai + Coversight)
                            

                                // C_MANUAL: Fully Burdened Labor Cost

                                // E_RATE: Documentation Error Rate (10-15% Baseline)

                                // C_OVERSIGHT: Human-in-the-loop Validation cost

03

Step 2: Deploy (Capital Sprint)

Build and deploy the full production system in 2 to 4 weeks. You own the code and data infrastructure.

The "Bold Experiment" Example

How we think: Structural changes, not just better colors.

The Proposal

"Stop passing permit PDFs around in email. Move to a live job record where permit requirements, status, and documents are all attached to the work order."

Why it works (Systems Thinking)

Data Integrity: One source of truth instead of conflicting versions in inboxes.
Speed: Crews see exactly what’s approved and what’s missing without asking ops.
Result: Fewer delays, less rework, measurable drop in Field Ops Information Tax.

[SYSTEM_MODES]

PRODUCTION AI YOU OWN

We deploy production-ready systems in your cloud with no vendor lock-in. Start with a paid diagnostic.

[SYS_ID: 0x01_RAG]

Retrieval Systems

Target: Crews & Operators

Focus on 'Instant Answers' and eliminating document hunting. Embed retrieval into existing tools so teams pull specs in seconds instead of searching PDFs.

                        THE_FIX: Cuts time-to-answer by 60-80% through context-aware document synthesis.
                    

[SYS_ID: 0x02_SIGNAL]

Signal Systems

Target: Managers

Focus on 'Clean Signal' and aggregating CRM, Billing, and Ops. Turn fragmented data into a single autonomous briefing for management.

                        THE_FIX: Keeps leadership in exception-only mode, increasing span of control.
                    

[SYS_ID: 0x03_LOOP]

Automation Loops

Target: Founders & Admins

Focus on 'Operational Velocity' and automating the contract-to-onboarding flow. Reclaim senior leadership's time by engineering out glue work.

                        THE_FIX: Moves senior staff off $20/hr work and into scaling decisions.
                    

Why Replace Scripts with Capital Systems?

01

Asset Construction, Not Duct Tape.

I build permanent data pipelines and retrieval graphs that compound over time, replacing fragile no-code setups.

02

Fixed-Scope Deployments.

We start with a targeted $4,000 to $8,000 sprint to wire a production loop to your specific CRM and document systems. No open-ended billing.

03

Principal Engineering Level.

You work directly with an architect designing around system risk, controls, and deployment realities, not a junior developer testing generic AI prompts on your data.

[STATUS: ENTRY_LEVEL]

$500 Infrastructure Audit

Paid technical diagnostic and working demo. Get a 1 to 2 page technical plan to decide whether to build or not. Fee credited toward build.

BOOK AUDIT

README.md

Technical Documentation

> Q: What AI infrastructure do you build on?

// A: We build on your stack, including Vertex AI, OpenAI/Azure, Anthropic, Gemini, or Postgres with pgvector. We use the right LLM for each job behind a stable API layer so you're never locked to a single model vendor (so you can swap models without breaking internal clients).

> Q: What exactly do we get in a Capital Sprint?

// A: You get a 2-4 week build of one high-impact internal system wired into your live tools (CRM, Drive, field apps). Data is semantically indexed into a private vector index served via Slack or internal UI.

> Q: How do you handle security and data isolation?

// A: We deploy logically isolated environments (VPCs) on major clouds. Your documents are never used to train public models. Every answer includes citations, and the system is engineered to say "I don't know" rather than hallucinate. Audit-friendly logging of queries and data access is available.

> Q: Are we locked into you or a specific vendor?

// A: No. You own your data and vector index. Our architecture is built on open standards. We do not run a proprietary SaaS and you can move between vendors without rewriting everything. We design and deploy the Capital System, we don't lock your IP in a black box.