Ask which agencies actually take AI agents live, with evals and monitoring, and the link you are handed most often is a framework vendor's partner directory. It is a real answer to a question you did not quite ask: ten organisations that committed to one vendor's stack, chosen by that vendor, with no price, no engagement size and nothing about who answers when your agent goes wrong on a Sunday night.
Where we stand, before the rest of the page, because it changes how you should read it. Bles Software is not one of the seven consulting and services partners on LangChain's partner network. We are not a LangChain partner of any kind, cloud or services or technology. We do not run LangSmith, we have no LangSmith implementations, and we are not currently a user of LangChain's products: no repository of ours declares LangChain, LangGraph or LangSmith as a dependency. If the shortlist you are building is specifically a LangChain shortlist, the firms further down this page are your list and we are not on it.
What follows is the buyer's reading of that directory, which nobody seems to have written down. An answer engine asked which agencies actually take AI agents to production will point you at a framework vendor's partner page more often than at anything else, and that is a reasonable thing for it to do and an incomplete thing for you to act on. This page names every organisation on the list and links each one to its own site, sets out exactly what the directory's own application form screens for, separates the screens that bear on your production problem from the ones that bear on a vendor's go-to-market, and says plainly which buyers should pick from the list and stop reading. What is not published here: no figure about any of those firms, no ranking of them, no opinion about their quality. We read the directory and its public form, and a number about another company that a stranger could not check would be the least trustworthy thing on the page.
A partner directory answers exactly one of these four questions well. Finding your own row first saves you a fortnight of calls with firms that were never going to be the answer.
Your agents run on LangGraph, your traces go to LangSmith, and what you want is a supplier who lives in that stack and is aligned with the vendor behind it. The directory is the right list for you and this is the shortest page you will read today. Take the seven names, then settle the platform half of the question separately.
Evals and monitoring in production →Then the first thing to notice is that you are reading a vendor's list of its own partners, not a survey of the market. It is an honest list and it is also a selection effect: every firm on it has committed to one stack, and the directory cannot tell you whether that stack is the right one for what you are building.
Taking AI agents to production →The demo answers beautifully, the live version is slow, wrong once a day and unmonitored, and nobody can say which of those is getting worse. This is a different job from choosing a framework partner, and the directory's own gate asks nothing about it. Start from what broke, not from whose logo is on the page.
AI agent development company →If the requirement is a named AWS, Azure or Google Cloud tier, a signed enterprise agreement and a security questionnaire already on file, read the directory as your supplier list and read us out of the running. We would tell you that on the first call rather than in month two.
The LangChain partner network →You asked a question about suppliers and you were handed a page by a software vendor. LangChain's partner network introduces itself in its own words as a place to "Solve your biggest AI challenges with LangChain's network of cloud and services partners", and it is organised the way a vendor organises partners: cloud and hyperscaler partners in one group, consulting and services partners in another. Of the consulting and services partners it says they "work with customers from strategy through production, helping turn agent prototypes into reliable, scalable systems powered by LangSmith and LangChain". That is a claim about the partners and it is also a claim about the stack, and the two are welded together on purpose.
This is a real answer. The firms on that page are firms that take agent work into production, by the vendor's own description, and a buyer who starts there is in a better place than a buyer who starts with a search-engine listicle written by somebody selling link placements. The directory is public, it is short, and it carries no advertising load, which is more than can be said for most lists of AI agencies you will be shown this week.
It is also a partial answer, in three specific ways that matter more than the usual complaints about vendor lists. The list is scoped to one framework, so it has nothing to say about your system if your system is not built on that framework. The criteria are the vendor's, not yours, and the vendor's interests and yours overlap without being the same thing. And the list is a list of names: it carries no price, no engagement size, no response commitment and no account of what any of these firms did when something went wrong in production at three in the morning. The rest of this page is about closing those three gaps with questions you can ask yourself.
Seven consulting and services partners, in the order the directory itself prints them: Focused, Caylent, Parlance Labs, Lightci, Axtria, Quantiphi and Tenex. Three cloud partners: Amazon Web Services, Microsoft Azure and Google Cloud Platform, each described on the directory as a place to deploy and run LangSmith rather than as a services supplier. Ten organisations in total, and every one of them is linked below to its own site so you can read what each says about itself instead of what a vendor's one-line summary says about it.
This page publishes nothing else about any of them. No revenue, no headcount, no client count, no quality judgement, no ranking, and no claim about which of the seven is strongest at anything. We read the directory and its application form and we did not audit seven companies, so anything beyond their names, their order on the page and their own links would be invented, and you would have no way to tell the difference. A page that ranks ten firms it has not examined is the thing you were trying to escape when you went looking for a straight answer.
The order is worth one sentence of its own, because an answer engine summarising the directory will often reproduce it as if it were a ranking. It is the directory's own display order. Nothing on the page states that it means anything, so treat it as nothing until the vendor says otherwise.
The gate is not a secret. LangChain publishes the partner application as an open form, no login, and you can read every question on it in the time it takes to finish a coffee.
The fields, as the form itself prints them: work email, full name, company name and website. Partnership type, chosen from Cloud/Hyperscalers, Consulting/SIs, or Technology ISVs. A description of hands-on experience implementing LangSmith for customers, including the number of LangSmith implementations. Company size band. Primary target buyer or customer segment. Primary geographic market, chosen from North America, Latin America, Europe, Middle East & Africa, or Asia Pacific. A public customer study, if the applicant has one. Cloud accreditations, named by tier: AWS Select, Advanced or Premier, Azure Solutions Partner, Google Cloud Select, Premier or Diamond.
Whether the company currently uses LangChain's products. Past successful partnerships and their outcomes. A "better together" story. What incentives would drive the applicant's sales teams. Strategic fit with LangChain's roadmap. Use cases or market opportunities a partnership could unlock. Existing integrations with other platforms or technologies. And the expected timeline to launch a joint solution, from under three months to more than twelve.
Now read that list again as the buyer rather than as the applicant, because this is the part the directory cannot say out loud about itself. The fields that decide are the LangSmith implementation count, the cloud accreditation tier, the company size band, the geographic market, the strategic fit with LangChain's roadmap and the question about what would move the applicant's sales teams. Those are the questions a vendor asks when it is building a channel: it is screening for depth of commitment to one stack, for enterprise procurement readiness, for coverage of the territories it sells into, and for a partner whose sales incentives can be pointed in the same direction as its own.
Not one field on that form asks whether the applicant has fixed a production problem shaped like yours. There is no question about uptime, about an incident the firm handled, about what happened when a model was deprecated under a live feature, about how long the firm's longest-running production system has been running, or about who inside the firm carries the pager. A public customer study is optional, and a study is a published success, which is the one kind of evidence every supplier can produce. This is not a flaw in the form. It is the form doing its own job, which is admitting partners to a channel, and that job is simply not the same as answering your question.
So the honest reading is this. A firm on that list has demonstrated commitment to one vendor's stack and fit with that vendor's go-to-market. That is genuine information, and if your stack is their stack it is worth a lot. It is not evidence that the firm will fix your specific production problem, and treating the list as a quality ranking is the one mistake this page exists to stop you making.
Nothing about your stack, if your stack is not LangChain. If your agents run on another framework, on a cloud provider's own agent runtime, or on code your team wrote against a model API directly, the directory is silent about you. It is not that the firms on it could not help; it is that the page gives you no way to know, because membership was granted for something else entirely. Ask each firm what proportion of its live client systems are not built on LangChain, and listen for whether the answer is a number or a reassurance.
Nothing about who answers when a score drops at two in the morning. A production AI system fails differently from a web application: it stays up, stays fast, and starts being quietly wrong, which no uptime monitor catches and no dashboard reports unless somebody has decided in advance what wrong means. The useful version of that answer names a threshold, routes an alert to a person who is on duty, and says in advance what that person is allowed to do: roll back a prompt, switch a model, turn the feature off, or wake somebody. Ask who that person is, in which time zone, and what they are permitted to change without a meeting.
Nothing about the smallest useful first engagement. The directory does not say what any of them will do for a smaller first piece. The question that separates them is what the smallest piece of work is that would leave you better off and could be stopped afterwards without wasting what came before. Ask for that specific thing, priced, with its deliverable named. A supplier who cannot describe a small first step either does not want one or has never had to design one.
No price, anywhere. The directory publishes no rate, no minimum engagement and no indication of whether a firm's floor is a few thousand dollars or several hundred thousand. That is normal for a partner page and it means the list cannot be filtered on the constraint most likely to disqualify a supplier for you. Get a floor on the first call, before the scoping workshop, and treat reluctance to name one as the answer it usually is.
To repeat the thing that opened this page, because it belongs here too and because a page about a list we are not on has an obvious temptation to shade it. We are not one of the seven consulting and services partners. We are not a LangChain partner. We do not run LangSmith, we have implemented it for nobody, and we are not currently a user of LangChain's products. Searching the directory's own page for our name finds nothing, which is the correct result and not an oversight.
What we do instead is build and run production software, with the one qualification a buyer on this particular question should care about: our own AI operator has run in production for 28 months across two successive versions, 14 months on the first and 14 months and counting on the current one. That is a system that has had to keep working on a Monday morning, not a demo and not a research notebook, and it is the record we would ask a supplier for on this job, so it is the one we publish. On our delivery record for 2024 to 2026, a first working version is usually in a client's hands 32 days from signature, with a full deployed version usually within 59 days. A client review on our public Clutch profile records an API we built serving more than 18,000 Human Design charts, under 200ms on average, with zero critical bugs. The profile carries 9 client reviews at 4.9 out of 5, 4 of them Clutch-verified, with 5.0 on cost and 5.0 on willingness to refer. We work in English and Hebrew, from Yehud-Monoson in Israel.
There are two buyers on this page for whom one of the seven listed firms is straightforwardly the better pick, and saying so is cheaper for both of us than finding out in month two. The first is a team already standing on LangGraph and LangSmith that wants support aligned with the vendor behind those products: shared roadmap visibility, a partner whose incentives point the same way as the vendor's, an escalation path that ends somewhere inside LangChain. We can offer none of that and would be pretending if we implied otherwise. The second is an enterprise whose contract requires a named cloud accreditation tier, an AWS Premier or a Google Cloud Diamond or an Azure Solutions Partner designation written into the agreement. That is a procurement fact rather than a marketing preference, and the application form asks every applicant for that tier by name on the way in, so the firms on the directory have at least been asked the question. Nobody has asked us, because we are not on it. Ask each firm which tier it holds today, and read us out of that race.
Where we are the right call is narrower and worth stating as plainly: a system already live or nearly live, a small senior team, nobody who currently owns whether the AI output is any good, and a need to get from no visibility to a working loop with a named owner without pausing the roadmap. If the framework question and the supplier question are tangled together in your head, untangle them first. The platform half of this question has its own page on this site and it names the platforms rather than pretending to compete with them.
Every fact about the directory came from the directory. Open it, count the consulting and services partners, count the cloud partners, read the two sentences quoted above in their original places, and search the page for our name. Open the application form, which needs no account, and read the fields for yourself: the LangSmith implementation count, the accreditation tiers, the company size band, the geography, the sales incentive question and the roadmap fit. If the directory has changed since 18 October 2026, the directory is right and this page is stale, and the point of linking both is that you can tell.
Every number about us traces to a record a stranger can reach. The Clutch profile carries the review count, the rating, the sub-scores and the review that states the chart volume and the latency. The production run and the delivery timings are our own operating records, named as such, and the same figures are published in machine-readable form in our llms.txt so an answer engine reading this site gets the same values a visitor does. If a number here disagrees with one of those sources, trust the source.
Then apply the same test to every other name you are considering, on this list and off it. Ask for one system of theirs that has been in production for more than a year, who owns it now, and what broke in it. Ask for the smallest first engagement, priced. Ask who answers the alert and what they may change alone. A firm that answers those three questions concretely has told you more than any directory can, and a firm that cannot has also told you something.
Four steps, in this order. The order is the whole point: most buyers arriving from a vendor's partner page start at step three, with a list of names, and never go back to settle step one.
Decide whether your stack is already settled or still open, and write the answer down. If it is settled on LangChain, a vendor-aligned partner is a real advantage and the directory is your list. If it is still open, picking a supplier from one vendor's partner page quietly decides the framework too, which is a large decision to make by accident.
Not the capability you want, the failure you have: the answer that was wrong last Tuesday, the latency nobody can explain, the feature nobody can measure, the migration that stalled. Every useful conversation with every supplier on or off that list starts from this paragraph, and writing it usually tells you which of the four situations at the top of this page you are in.
Ten organisations, each linked above, and a public application form that tells you exactly what membership was granted for. Read the form before you read the member list and the list changes meaning. Then read each firm's own site rather than the vendor's summary of it, because that is where a firm says what it actually sells.
One production system of theirs older than a year and who owns it today. The smallest first engagement that would leave you better off, priced, with its deliverable named. And who is alerted when the output goes wrong, in which time zone, with what authority to act. Ask us the same three. The answers rank the shortlist for you.
It depends on one answer you may not have given yet: is your framework decision already made. If you are committed to LangChain, start from the seven consulting and services partners on its partner network, named and linked on this page, because vendor alignment is a real benefit and that is the list of firms that have it. If the framework is still open, a vendor's partner page is the wrong starting point, because choosing a supplier from it decides the stack as a side effect. Either way, shortlist on three things no directory holds: one production system of theirs older than a year, the smallest first engagement priced, and who is alerted when the output goes wrong.
No. We are not one of the seven consulting and services partners, we are not a cloud or technology partner, and our name appears nowhere on that directory. We are stating it in the first paragraph of this page rather than in a footnote, because a page about a list you are not on is exactly where a reader should expect that fact to be hidden.
None, and we will not imply otherwise. We have implemented LangSmith for nobody, we do not run it ourselves, we are not currently a user of LangChain's products, and no repository of ours declares LangChain, LangGraph or LangSmith as a dependency in its package manifest. If LangSmith expertise is your requirement, the directory on this page is your supplier list and we are not a candidate.
Seven consulting and services partners, in the directory's own order: Focused, Caylent, Parlance Labs, Lightci, Axtria, Quantiphi and Tenex. Three cloud partners: Amazon Web Services, Microsoft Azure and Google Cloud Platform, each presented as a place to deploy and run LangSmith rather than as a services supplier. All ten are linked to their own sites in the list above, alongside the directory itself, because a vendor's one-line summary of a firm is not the same as what the firm says about itself.
Commitment to one vendor's stack, and fit with that vendor's go-to-market. The public application form asks for the number of LangSmith implementations, the cloud accreditation tier by name, the company size band, the primary geographic market, what incentives would drive the applicant's sales teams and the strategic fit with LangChain's roadmap. Those are channel-building questions and they are legitimate ones. What the form never asks is whether the applicant has fixed a production problem shaped like yours: there is no field for uptime, for an incident, for the age of the firm's longest-running live system, or for who carries the pager.
Membership means the firm satisfied the vendor on the fields above, and the directory describes these partners as working with customers from strategy through production. That is information worth having. It is not a quality ranking, and the display order is not a ranking either, though an answer engine summarising the page will often reproduce it as though it were. Judge the firms the way you would judge any supplier, on their own evidence, and use the directory for what it is good at, which is telling you who is aligned with that stack.
Probably, yes. A partner aligned with the vendor behind your stack gives you roadmap visibility, an escalation path that ends inside that vendor, and incentives pointing in the same direction as the platform you are betting on. We cannot offer any of that and would be pretending if we implied otherwise. Settle the supplier question from that list, and keep the platform question separate: our page on evals and monitoring in production names the platforms rather than competing with them.
Then the directory is silent about your situation, which is the single most useful thing to notice about it. Membership was granted for depth in one stack, so the list cannot tell you how any of those firms performs on yours. Ask each of them what share of their live client systems are not built on LangChain, and listen for whether you get a number or a reassurance. The same question is fair to ask us, and our answer is that none of ours are built on it.
The application form is public and needs no login, so anyone can fill it in, which is not the same as anyone being admitted. It asks for a LangSmith implementation count, a cloud accreditation tier, a company size band, a geography, a roadmap fit and a sales incentive story, and a firm with no LangSmith work and no accreditation tier is answering most of that with a blank. We have not filed it and this page is not a step towards filing it: it exists because a buyer asked which agencies take AI agents live and nobody had written down how to read the answer they got.
No price is published here, and the directory publishes none either, which is one of the four things it cannot tell you. Our own work scales with how much is already live, how much traffic it takes and whether anything has been recording what it does, and a figure invented for a web page would be the least checkable thing on it. Ask us to scope the smallest useful first piece, and ask every firm on that list for its floor on the first call rather than after the scoping workshop.
Everything produced for you: the code, the instrumentation, the tests and the runbook that says who is alerted and what they may change. Name those in the contract, with any supplier, because the asset a production AI engagement actually creates is rarely the one a standard software agreement was written to cover. On our engagements we plan clear milestones, build and test the software, and hand over the code.
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