DeepSeek Application Services
DeepSeek App Services For Teams That Cannot Export Their Data
DeepSeek matters to most buyers for one reason: the models are open weight. You can download them and run them on infrastructure you control, which is a fundamentally different purchase from calling a hosted endpoint. Which of the two you are actually buying is the first thing we settle.
Triple Protection Guarantee
- US-Registered Entity
- Signed IP Assignment
- Senior Engineers Only
Triple Protection Guarantee:
- US-Registered Entity
- Signed IP Assignment
- Senior Engineers Only
Years In Business
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Engineers On Staff
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Avg. Engineer Exp.
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Where DeepSeek Slips
Weights Or API
Chosen First
Senior Engineers
Vetted Only
Timezone Overlap
Live Hours
Your Own VPC
Or Your Metal
Delaware LLC
US Entity
GPU Capacity
Sized First
Eval Set First
Every Change
Model Weights Pinned
By Digest
Cost Per Call
Logged Live
IP Assignment
Signed
Delivery Overlap
Fixed
Hours
Model Host Owner
You
Trusted By Startups
What Our DeepSeek App Services Actually Cover
Two very different products share the DeepSeek name. One is a hosted endpoint you call over the internet. The other is a set of open weights you download and serve yourself, inside a network boundary you define. Most teams who reach this page want the second, because the data behind their answers is not free to travel. We build both, and we tell you which one your constraint actually points at.
Stallyons is registered in Delaware as a US company, and our engineers work a time-zone window agreed before the project starts, with four-plus hours of daily overlap. You sign a US contract, run diligence on a US entity and pay one US invoice. Behind the work sits twelve-plus years of delivery across six continents and around thirty-five engineers, averaging four-plus years of production experience. Teams come to us when an open-weight model has to run in their own environment rather than in a demo notebook.
What A DeepSeek Build Covers
A hosting decision made in writing: the hosted DeepSeek endpoint for speed, or open weights served in your own private cloud or data centre when the data behind the prompts is not allowed to leave it.
A serving stack sized to the work, not to a benchmark: which model size, how many GPUs, what batching and concurrency, and what happens to queue depth when a busy Monday arrives all at once.
A written data path. Every hop a request, a document and a log takes is drawn before we build, so your own security team and counsel can review the architecture instead of taking our word.
Weights pinned by digest, so the model answering today is provably the model you signed off. Upgrades are tested against your evaluation set before anything is swapped.
Quality you can inspect: an evaluation set built from your real examples, run on every change, plus code review on every merge and work tracked on your own board.
One accountable vendor: one contract, one invoice and one entity for legal and finance to run diligence on, instead of a spread of contractors across four jurisdictions.
Why Buyers Screen A DeepSeek Development Partner Hard
- Ask whether they mean the hosted endpoint or the open weights. The two answers imply different networks, different costs and different conversations with your security team.
- Ask how they size GPU capacity. Model size, context length and concurrency all move it, and a plan built from a single-user demo will not survive a real Monday morning.
- Ask what their evaluation set looks like. Without one, nobody can tell whether a prompt change, a quantisation or a new checkpoint made yesterday's answer worse.
- Ask how quantisation is tested. Shrinking a model to fit the hardware you have is a normal engineering trade, but it changes behaviour, and it should be measured rather than assumed.
- Check the exit before you need it. The cluster, the registry, the weights, the prompts and the repositories all sit in your own accounts, so changing supplier is administration.
- Ask where the logs go. Prompt and completion logging is the quietest way for sensitive text to end up somewhere nobody intended, and it is trivial to design properly.
How A DeepSeek Project Starts With Us
Every project starts with a free 45-minute scoping session. No slide deck, no sales script. You bring the problem, the data it lives in and the constraints around it; you leave with a build plan and a timeline.
We are selective about new projects and cap how many we run at once, because the scoping is the product. If an open-weight model is the wrong fit for your workload, we will say so before you buy it.
Why Clients Choose Us
Full
Written IP Transfer
USA
Contract Entity
Yours
Weights And Keys
Named
Delivery Lead
Ready to run an open-weight model you control?
What We Build With DeepSeek
The DeepSeek App Services We Deliver
Workloads differ and the underlying jobs repeat: choose where the model runs, serve it reliably, decide what it may read, prove the answers and keep the running cost visible. These are the builds we deliver most often.
Self-Hosted Deployments
Your cloud account or your own racks
You Control
DeepSeek API Apps
Hosted endpoint, quick to start
Ship Quickly
Reasoning Flows
Long generations, streamed to users
Streamed
Coding And Review Aids
Repo-aware prompts, diffs, tests
Inside Your Repo
Private RAG
Your corpus, indexed in place
Stays Inside
Tool & Function Calls
Typed schemas, real actions
Wired Up
Serving & Autoscaling
Batching, queues, GPU autoscale
Scaled
Evaluation Harness
Golden sets, regression runs, scoring
Measured
Migration From APIs
Move off a hosted vendor in stages
Portable Now
Support & Model Care
Monitoring, cost, weight updates
Kept Running
Not sure whether to self-host or call the hosted API?
Common Challenges
Why Do DeepSeek Builds Stall?
Six patterns behind almost every open-weight deployment that has to be redone. Most of them begin with a laptop demo.
Two DeepSeeks
01
The team believes it has chosen DeepSeek. Half of them mean the hosted endpoint and half mean weights running in a private network. Those are different architectures, different budgets and different reviews.
GPU Bill Surprise
02
Capacity is planned from a single-user demo. Real concurrency arrives, queues build, and the cheapest way out is more GPUs nobody budgeted for.
No Weight Pinning
03
The deployment pulls whatever checkpoint the registry served that day. When answers change, nobody can say whether the model, the prompt or the data moved.
Long Generations
04
Reasoning-style models think for longer before they answer. A front end built for short replies times out, shows a frozen spinner, and the feature reads as broken rather than careful.
Quantised Without Testing
05
The model is shrunk to fit the hardware on hand. That is a reasonable trade, but it changes how the model behaves, and nobody measured the before and after on real examples.
Vendor Holds The Cluster
06
The GPUs, the registry and the secrets sit in an agency account. The whole point of self-hosting was control, and it quietly ended up somewhere else.
Recognise a few of these? Let us do it properly.
Our DeepSeek Services
6 Ways To Buy DeepSeek App Services
Six ways to buy DeepSeek delivery from one accountable vendor. Run one, or run several in parallel under a single contract.
Self-Hosted Model Deployment
01
Open weights served in your own environment: model size chosen, serving stack built, GPUs sized, autoscaling configured and the whole path documented for your security review.
Private Cloud Setup
02
The network around the model: private subnets, no public inference endpoint, secrets in a vault, per-service roles, and logging designed so sensitive text is not written where it should not be.
DeepSeek API Integration
03
The hosted endpoint wired into a product: streaming, function calling into your services, retries, timeouts and a fallback path when a call fails.
Reasoning & Coding Builds
04
Features that suit a reasoning or coding model: longer generations streamed as they arrive, structured output, and an interface that shows progress honestly.
Backends & Retrieval
05
The services behind the model, built by our own API development practice: retrieval, caching, auth, queues and usage records.
Evaluation & Model Operations
06
An evaluation set from your own examples, run on every prompt, quantisation and checkpoint change, plus the digest pinning and cost telemetry that keep a live system stable.
Not sure which piece you need first? Let us scope it together.
Why Choose Us
What Makes Our DeepSeek App Services Different In Practice
The details that decide whether an open-weight deployment is still affordable in month six.
A US Legal Entity
01
Stallyons is registered in Delaware. Your contract, your invoice and your legal recourse sit with a US company, not an unknown one.
Hosting Choice First
02
We settle self-hosted against hosted before design, because that one answer changes the budget, the network and the review path.
Overlap You Set
03
You choose the hours we share with your working day, and stand-ups, reviews and escalations all happen inside that window.
Data Path Written Down
04
We draw where every request, document and log travels before building, so your security team and your counsel review an architecture, not a promise.
Reviewed Code
05
Every merge is reviewed against an agreed definition of done, on your board, where you can read it yourself.
One Contract
06
One contract covers the engagement, so procurement, legal and finance each deal with a single named counterparty.
Ready to see what a proper DeepSeek build looks like?
Our Process
From First Call To DeepSeek Launch In Six Steps
A build process that settles hosting, the data path and evaluation before any features.
Discovery
Understand the data, limits and answer quality
Scoping
Agree the hosting model, scope and cost
Design
Data path, prompts, retrieval and fallbacks
Contracting
NDA, IP assignment, access and onboarding
Deliver
Built, evaluated, reviewed on merge
Release & Tune
Ship, then watch GPU cost and answers
Want to see how this maps to your roadmap?
Technology Stack
What Our DeepSeek App Developers Work With
The models, serving stack, data plumbing and tooling we deploy DeepSeek on, and what keeps it running.
Model Serving
DeepSeek Weights
vLLM Serving
SGLang Runtime
Quantising
Embeddings
Retrieval & Data Path
Vector Store
Postgres pgvector
Chunk Design
Rerank
Local Object Store
App & Services
Python Services
Node Backends
Job Queues & Workers
REST & gRPC
Streaming Responses
Infrastructure
GPU Scheduling
Kubernetes
Private VPC
IAM & Secrets Vault
Terraform Infra
Build & Deliver
Container Images
Eval Suites
Trace & Cost Logs
GitHub Actions / CD
Weight Registry
Who We Build This For
DeepSeek App Services For Every Kind Of Product
Eight kinds of organisation that share one constraint: the data behind the answers is not free to travel.
Banking & Insurance
Case notes, policies, claims files
Healthcare Providers
Records, intake, clinical notes
Legal & Professional
Contracts, discovery, drafting
Public Sector IT
Casework, records, internal forms
Defence And Aerospace
Documents, drawings, service logs
Logistics & Field Work
Routing, forms, proof of job
Software & Platforms
Code review, docs, support
Research And Education
Corpora, grading, summaries
Working in another sector? See our full AI practice.
How We Compare
Your DeepSeek App Services Options, Compared
An honest look at your four delivery options.
| Capability | Hosted API Only | In-House Generalist | Freelance AI Dev | Stallyons Technologies |
|---|---|---|---|---|
| Open weights or hosted endpoint | ✕ Endpoint only | Whichever demoed first | Usually the endpoint | Chosen and written down |
| Where inference actually runs | ✕ Vendor tenancy | Wherever it was easiest | Developer's account | Your VPC or your racks |
| GPU capacity planning | Not applicable | Sized after launch | ✕ Demo-sized | Modelled from concurrency |
| Weight and version pinning | ✕ Vendor decides | Latest checkpoint | Varies by build | Pinned by digest |
| Quantisation tested on your data | Hidden from you | ✕ Not measured | Sometimes | Before and after scored |
| Prompt and completion logging | Vendor policy | Default settings | Rarely reviewed | Designed with your team |
| Cluster, registry and key ownership | ✕ None of it yours | Your own accounts | ✕ Held by the developer | Yours from day one |
See the difference for yourself
Complete Engagement
Everything Included In Your DeepSeek App Services
From Scoping to Contracting to Delivery, One Vendor
Here is everything included when you build on DeepSeek with us:
One DeepSeek Build Price: No Hidden Fees And No Surprises.
Every DeepSeek engagement includes all eight components above. One contract, one senior team, one predictable cost, and no vendor sprawl.
🔒 No obligation. We'll deliver a detailed proposal within 48 hours.
Plus, Get These Free Bonuses
Free DeepSeek Review
A written read on your hosting choice, serving stack, data path, GPU capacity and evaluation gaps, with the fixes ordered by what breaks first.
Included Free
Build Plan And Estimate
A phased build plan with scope, milestones, the infrastructure it needs and a transparent, itemised estimate for the engagement.
Included Free
Free Vendor Checklist
The questions we would ask any open source LLM development vendor about hosting, weights, GPU cost and evaluation, so you can test us too.
Included Free
Risk-Free Partnership
Our DeepSeek Development Promise
We stand behind every engagement with commitments that protect your investment.
01
Scope Agreed First
Scope, hosting, working hours and cost structure are written down and agreed before contracting, so nothing is discovered later.
02
Built to Last
Senior developers, code review, automated tests, security and accessibility audits, and clean, documented code you fully own.
03
IP And Access Protected
NDA and IP assignment are signed before access, permissions are scoped per person, and your accounts stay under your control.
Start your DeepSeek build with confidence, backed by our Triple Protection Guarantee.
Track Record
Engagements That Ship, Scale, and Compound
500+
Projects Delivered
29+
Service Categories
81%
Repeat Client Rate
4.9 ★
Clutch Rating
"Stallyons took our Figma design and built it into a live web application, a cognitive game with level-based match play, messaging, a tutorial, and a directory that ranks users nationally. What impressed me most was their grasp of the code behind that logic, and the quality of the experience. Delivered on time with steady updates."
Jerry L.
Founder
PicCiti LLC
"We brought Stallyons in to absorb an overflow of work, and they delivered ten iOS and Android apps, from reporting to geo-location for logistics, plus several backend systems, owning design, development, and app-store submission. Everything stood out: code quality, speed, and reliability. Perfect code, on time, adopted company-wide."
William B.
Director
Amplo Solutions
FAQ
Frequently Asked DeepSeek Development Questions
They cover the engineering around an open-weight model rather than the model itself: choosing between the hosted DeepSeek endpoint and weights you serve yourself, building the serving stack, sizing GPU capacity for real concurrency, pinning weights by digest, designing where prompts and logs travel, building an evaluation set from your own examples, and instrumenting what each request costs to run.
The hosted API is a service you call over the internet, operated by DeepSeek, and it is the quicker route to a working feature. Self-hosting means downloading the open weights and serving them on hardware you control, in a network you define, with no request leaving that boundary by design. The second costs more to stand up and gives you control over placement, versioning and logging. Which one fits is a constraint question, not a preference.
Build cost follows the number of features and how much data plumbing sits behind them. Running cost is dominated by GPU capacity, which follows model size, context length and peak concurrency rather than headline request volume. We size that from your own traffic shape during scoping, then price, and itemise each phase so you can cut scope before you commit.
That is a question for your own counsel and security team, and we will not answer it for you. What we can do is remove the ambiguity from the architecture: run open weights inside your boundary, keep inference off any public endpoint, and document every hop so the review is about a diagram rather than a vendor’s assurances. Some organisations still say no, and that is a reasonable answer.
You do, from the first day. The cloud accounts, the GPU cluster, the model registry, the repositories and the prompt library are registered in your name, and NDA and IP assignment are signed before anyone gets access. Everything we write on the engagement is assigned to you outright, with no licence-back.
Architecturally, yes. Open weights can be served in a private subnet with no public inference endpoint, secrets held in your vault, and outbound access restricted at the network layer. We design and document that path with your infrastructure team, who own the final configuration. What we deliver is the architecture and the evidence, not an assurance about your obligations.
By pinning weights to a specific digest rather than a moving tag, and by keeping an evaluation set built from your own examples. A new checkpoint or a different quantisation is run against that set and compared with the pinned one before anything is swapped, so a change is a scheduled decision rather than a Monday morning surprise.
When you have no data-placement constraint and no appetite for running infrastructure. A hosted model removes GPU capacity, serving and upkeep from your plate, and for a great many products that is exactly the right trade. If that describes you, our OpenAI, Claude and Gemini pages are the better read.
Still have questions? Let's talk.
Schedule an appointment with us today!
Ready To Run DeepSeek On Hardware You Own?
Get a free consultation. We will walk your constraints, name what will break at real volume, and send a written proposal.
