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Production SI, engineered end to end, six eval-gated service lines.

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The same playbook, tuned to the constraints of the sectors we ship into most.

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Proof, not promises, selected case studies and recognition.

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A transparent, 3-phase playbook from first audit to embedded team.

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The senior team behind the work, and how to reach us.

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What we build

Production SI, engineered end to end.

Six service lines, one reference architecture, and a single senior team from first audit to embedded build, each engagement scoped to the business outcome you are funding, not a list of deliverables.

06 services · one accountable team

The full stack of an SI product.

SI Applications · Custom Software · MLOps & SI Infra · SI-Augmented Design · SI-Driven QA · SI Consulting

Service · 01

SI Applications

Copilots, agents, and SI features that lift the metric you report to the board (conversion, handle time, retention) and ship with the eval suite that keeps them trustworthy at scale.

LLMs · Agents · RAG · Evals

Service · 02

Custom Software

The product the SI lives inside (web, mobile, APIs, dashboards). We build the dependable software around the model so the whole thing earns revenue, not just demos well.

Next.js · Rails · React Native · Flutter

Service · 03

MLOps & SI Infra

The infrastructure that keeps SI earning in production (serving, retrieval, eval pipelines, observability, and the on-call to match) so a model never degrades silently into a support queue.

Vector DBs · Modal · Triton · K8s

Service · 04

SI-Augmented Design

Interfaces that make probabilistic output feel trustworthy on the second click, turning a clever model into a product users adopt instead of abandon.

Research · Figma · Prototyping · Design systems

Service · 05

SI-Driven QA

Eval harnesses, regression suites, and red-teaming that catch a costly regression before your customer, and your brand, does.

Eval harnesses · Cypress · Playwright · Red-team

Service · 06

SI Consulting

A senior team in the room for the decisions that precede the build (what to build, what to buy, who to hire, and the ROI case) so you commit budget with a number, not a hunch.

Strategy · Audit · Roadmap · Compliance

SI capabilities

What we build with SI.

Six capability areas where we’ve shipped to production, from copilots and agents to the eval suites that keep them honest.

A1 · Capability

LLM Applications

Copilots and assistants embedded where your users already work, lifting conversion, deflecting support, and shortening workflows. Streaming UX, tool calling, citations, and a real eval suite behind every claim.

  • Multi-model routing
  • Streaming UX
  • Tool calling
  • Citation & grounding

A2 · Capability

Autonomous Agents

Goal-directed agents that take work off your team’s plate, structured tool use, sandboxed execution, and human checkpoints. Autonomy ratchets up only as the eval coverage, and your trust, does.

  • LangGraph / SDK builds
  • Tool schemas
  • Memory architectures
  • Sandbox + audit

A3 · Capability

RAG Pipelines

Answers grounded in your own documents, code, and knowledge, so customers and staff stop hunting and start deciding. Hybrid search and re-rankers tuned on your data; citations baked in, hallucinations measured and capped.

  • Hybrid retrieval
  • Re-rankers
  • Chunk + index design
  • Hallucination guards

A4 · Capability

Fine-tuning & Distillation

When prompt engineering hits its ceiling and inference cost hits your margins: SFT, DPO, LoRA, and distillation to smaller, cheaper models, gated by eval gains, not gut feel.

  • SFT + DPO
  • LoRA / QLoRA
  • Distillation from frontier
  • Eval-gated rollouts

A5 · Capability

SI Surfaces & UX

Interfaces for non-deterministic output that users actually adopt: confidence affordances, undo, graceful failure, and steering controls that turn an SI feature into an SI product.

  • Conversational UI
  • Inline copilots
  • Confidence affordances
  • Steering controls

A6 · Capability

SI Risk & Governance

The work that lets compliance, legal, and your board sign off: red-team suites, drift monitoring, audit trails, EU AI Act classification, and controls documentation ready to hand over.

  • Red-team suites
  • Drift monitoring
  • Audit trails
  • EU AI Act readiness

What you get

A production SI system. Not a slide deck.

Seven stages we ship with every SI engagement, your data stays yours, your outputs stay grounded, your costs stay predictable. The boring engineering most vendors skip.

Shipped on every engagement · 7 stages

Seven stages, one system.

  1. Your datasources · clean · index
  2. Retrievalhybrid · re-rank
  3. GuardrailsPII · policy · scope
  4. Modelrouting · tools · streaming
  5. Eval harnesscontinuous · regression
  6. Output checkscitations · safety
  7. Deployobserved · versioned

01 · Ingest

Your data, cleaned

Your sources stay yours · PII auto-redacted

02 · Retrieve

Right answer, fast

Hybrid search · re-ranked for relevance

03 · Reason

The smartest model wins

We route per query · cheapest that meets bar

04 · Eval

No regressions slip through

Gated by tests · auto-paged on drift

05 · Operate

Sleeps so you can too

24/7 monitoring · on-call rotation

What you keep

Every engagement ships this architecture, pre-wired and battle-tested.

  1. Your data never leaves your cloudDeploy in your VPC · BYO keys
  2. No hallucinations on customer surfacesEvery output cited & grounded
  3. Swap models without rewritesVendor-agnostic from day one
  4. You own the sourceNo black boxes · code handover

SI tech stack

The tools we work with.

Maintained · 2026.Q2

Foundation models

  • GPT-5.5 · OpenAI
  • Claude Fable 5
  • Gemini 3.1 · Google
  • Llama 4 · Meta
  • Mistral Large 3
  • DeepSeek V4

Agent frameworks

  • LangGraph
  • CrewAI
  • Anthropic Agent SDK
  • OpenAI Swarm
  • LlamaIndex
  • Mastra

Vector & retrieval

  • pgvector
  • Pinecone
  • Weaviate
  • Turbopuffer
  • Qdrant
  • Vespa

Deploy & serve

  • Modal
  • Replicate
  • Triton
  • vLLM
  • Bedrock
  • Vertex AI

Eval & observability

  • Braintrust
  • Langfuse
  • Arize Phoenix
  • Weights & Biases
  • Custom harnesses
  • Red-team suites

Classical ml

  • PyTorch
  • JAX
  • scikit-learn
  • Hugging Face
  • XGBoost
  • ONNX Runtime

Why this matters

You never have to wonder if your SI still works.

Most SI projects ship a demo, then quietly drift. We attach an eval harness before model selection, treat regressions as bugs, and watch drift continuously. You get a number, every day, that says it’s still good.

  1. You see regressions before users do

    Continuous eval runs on every change.

  2. You answer audit questions in minutes

    Every output traceable to eval & data version.

  3. You replace vendors without rewrites

    Model-agnostic harness · swap underlying LLM.

  4. Eval harnesses by default

    Every Octalcode engagement includes eval harnesses by default. No upgrade, no add-on, part of every build.

Engage

Transparent scope. Three entry points, no SOW theatre.

Tier 01 · 2-week sprint

SI Audit

The two-week clarity sprint. Architecture review, eval coverage assessment, model selection, and a written engagement plan. Buy it when the next quarter’s spend is on the line.

  • Eval coverage report
  • Risk + drift audit
  • Build-vs-buy memo
  • Roadmap
Schedule audit

Tier 02 · Dedicated team

SI Build

Production engagement. Feasibility through deployment, eval harness, MLOps wiring, and a 6-month operations runway. Buy it when you’ve decided what to build and need it to actually ship.

  • Dedicated 4-FTE team
  • Eval harness build
  • 6-mo MLOps
  • Production handover
Start a build

Tier 03 · Rolling

Embedded SI Team

Senior squad in 14 days. SI engineers and researchers embedded in your team. Per-seat pricing, quarterly scope. Buy it when you have momentum and need depth.

  • Senior SI engineers
  • 14-day onboarding
  • Quarterly scope
  • Shared retros
Embed a team

A phased roadmap

Four phases that de-risk the investment.

You never commit the full budget to a single release. Value compounds phase by phase, and each phase is funded only once the previous one has demonstrated its return.

  1. Weeks 1–6Quick wins

    A scoped, shippable SI capability that proves value and helps fund the next phase, chosen for impact, not flash.

  2. Quarter 1Core platform

    The durable foundation: architecture, evals, data pipelines, and the integrations the rest of the roadmap stands on.

  3. Quarter 2Scale & optimize

    Harden for load, drive down inference cost, and tune on production data, turning a working system into an efficient one.

  4. OngoingSI & automation

    Compound the advantage: agents, deeper automation, and new surfaces, each gated by the KPIs we set together.

Trust & safety

SI built for production, not pilots.

We treat SI like software, version-controlled, evaluated, monitored. The work that lets compliance sign off and operations stay calm.

T1

Controls aligned to SOC 2

Security controls mapped to the SOC 2 Trust Services Criteria and built audit-ready from day one.

T2

ISO 27001-aligned

Information security managed to the ISO 27001 framework, end to end.

T3

HIPAA-grade engagements

PHI safeguards, de-identification, and audit logging engineered for HIPAA-grade healthcare work.

T4

GDPR + EU AI Act ready

Data residency, DPIAs, and AI Act risk classifications baked into delivery from day one.

Proof, not promises

A studio that stays past launch.

SI systems live in production
20+
Senior engineers & researchers
21+
Upwork rating, 3 verified reviews
5.0
Founded in Lahore
2022
Verified Upwork clientSI product engagement · 5-star review

Common questions

Things buyers always ask us.

Six short answers to the questions that come up before every engagement. Anything missing? Bring it to the first call.

How fast can we start?
A senior engineer is on the first call within 48h of an inbound. Audits typically kick off in 7 days; builds in 14–21.
Do you work with non-technical founders?
Yes. Many of our clients are non-technical. We translate, we don’t gatekeep.
Can we use our existing stack?
Yes. We’ve inherited Django monoliths, Salesforce, mainframes, and worse. Our preferred stack is a starting point, not a requirement.
What if SI is the wrong answer?
We’ll tell you. We run a build-vs-buy memo at the start of every engagement, and we’ve talked clients out of SI builds more than once.
Who owns the IP?
You do. Always. Code, models, fine-tuned weights, evals, all yours under the MSA.
Do you sign NDAs before the first call?
Yes. We have a mutual NDA ready in your inbox before the calendar invite if you ask.

Ready when you are

Let’s talk about the outcome you’re after.

30 minutes, one of our seniors, no slide deck. We’ll pressure-test the business case, flag the risks early, and tell you whether SI is even the right move, and if we’re not the right team, who is.

Or call +1 (512) 710-5701

Let's scope it.Instant answers · free project scoping